To see the other types of publications on this topic, follow the link: AGGREGATOR.
Journal articles on the topic 'AGGREGATOR'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'AGGREGATOR.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Barnett, William, Kun He, and Jingtong He. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation." Journal of Risk and Financial Management 15, no. 10 (October 2, 2022): 447. http://dx.doi.org/10.3390/jrfm15100447.
Full textAbstract:
Simple sum monetary aggregates are based on accounting conventions and have no aggregation theoretic foundations in economic theory. In contrast, Divisia monetary aggregates are directly derived from aggregation and index number theory. Credit card services cannot be included in simple sum monetary aggregates since accounting conventions cannot aggregate over assets and liabilities. However, microeconomic aggregation theory aggregates over service flows, not stocks, regardless of whether from assets or liabilities. As a result, it has recently been shown that Divisia monetary aggregates can be augmented to include credit card services and are available from the Center for Financial Stability in New York City. Other sources of consumer credit cannot be included in Divisia monetary aggregates for the United States since other sources of consumer credit in the United States are linked to specific groups of consumer goods and hence, violate the weak separability condition for the existence of an aggregator function. However, China produces a unique opportunity to broaden the Divisia monetary aggregates since sources of consumer credit, not limited to credit cards, are applicable to all consumption purchases and hence, do not violate the existence condition for an aggregator function. We report initial results with a broader Chinese Divisia monetary aggregate, including not only credit card services but also other broadly acceptable consumer loan services.
2
Livieratos, John, Phokion G. Kolaitis, and Lefteris Kirousis. "On the Computational Complexity of Non-Dictatorial Aggregation." Journal of Artificial Intelligence Research 72 (September 23, 2021): 137–83. http://dx.doi.org/10.1613/jair.1.12476.
Full textAbstract:
We investigate when non-dictatorial aggregation is possible from an algorithmic perspective, where non-dictatorial aggregation means that the votes cast by the members of a society can be aggregated in such a way that there is no single member of the society that always dictates the collective outcome. We consider the setting in which the members of a society take a position on a fixed collection of issues, where for each issue several different alternatives are possible, but the combination of choices must belong to a given set X of allowable voting patterns. Such a set X is called a possibility domain if there is an aggregator that is non-dictatorial, operates separately on each issue, and returns values among those cast by the society on each issue. We design a polynomial-time algorithm that decides, given a set X of voting patterns, whether or not X is a possibility domain. Furthermore, if X is a possibility domain, then the algorithm constructs in polynomial time a non-dictatorial aggregator for X. Furthermore, we show that the question of whether a Boolean domain X is a possibility domain is in NLOGSPACE. We also design a polynomial-time algorithm that decides whether X is a uniform possibility domain, that is, whether X admits an aggregator that is non-dictatorial even when restricted to any two positions for each issue. As in the case of possibility domains, the algorithm also constructs in polynomial time a uniform non-dictatorial aggregator, if one exists. Then, we turn our attention to the case where X is given implicitly, either as the set of assignments satisfying a propositional formula, or as a set of consistent evaluations of a sequence of propositional formulas. In both cases, we provide bounds to the complexity of deciding if X is a (uniform) possibility domain. Finally, we extend our results to four types of aggregators that have appeared in the literature: generalized dictatorships, whose outcome is always an element of their input, anonymous aggregators, whose outcome is not affected by permutations of their input, monotone, whose outcome does not change if more individuals agree with it and systematic, which aggregate every issue in the same way.
3
Barnett, William A., Melvin J. Hinich, and Piyu Yue. "THE EXACT THEORETICAL RATIONAL EXPECTATIONS MONETARY AGGREGATE." Macroeconomic Dynamics 4, no. 2 (June 2000): 197–221. http://dx.doi.org/10.1017/s1365100500015030.
Full textAbstract:
In aggregation theory, index numbers are judged relative to their ability to track the exact aggregator functions nested within the economy's structure. We compare two statistical index numbers—the Divisia monetary aggregate and the simple-sum monetary aggregate—with the exact rational expectations monetary aggregate, using actual data. Because we are not using simulated data, we estimate the parameters of the Euler equations, and thereby of the nested monetary aggregator function, using the generalized method of moments. We explore the tracking errors of the two index numbers relative to the estimated exact aggregate. We investigate the circumstances under which risk aversion increases tracking error. We also use polyspectral methods to test for the existence of remaining nonlinear structure in the residual tracking errors.
4
Akca, Selin, and Anita Rao. "Value of Aggregators." Marketing Science 39, no. 5 (September 2020): 893–922. http://dx.doi.org/10.1287/mksc.2020.1236.
Full textAbstract:
Aggregators are facing increased scrutiny by regulatory authorities, suggesting these sites have considerable market power. On the other extreme, firms are bypassing aggregators, choosing instead to sell directly to consumers. This raises the question as to which party has more market power: the aggregator or the individual firm. Focusing on the airline industry, we investigate who benefits most in the airline-aggregator relationship. Specifically, we ask what would happen to airline and aggregator site visits and purchases in the absence of a comprehensive aggregator. We first explore consumers’ search patterns on Southwest, an airline that has never been part of any aggregator. In a descriptive exercise, we find that consumers who book on Southwest are the least likely to visit aggregator sites. Second, we use the 2011 American dispute with Orbitz as an exogenous event, which led to American fares no longer being displayed on Orbitz for five months. We use this dispute to identify who was hurt the most—the aggregator or the airline—in the months following the dispute. Our findings indicate the aggregator loses the most when it is not comprehensive.
5
Luttenberger Marić, Leila, and Vesna Bukarica. "Combined effort opportunities of aggregated demand response flexibility and energy savings in households." Journal of Energy - Energija 70, no. 4 (October 28, 2022): 7–12. http://dx.doi.org/10.37798/2021704257.
Full textAbstract:
This paper analyses possible synergies between demand response flexibility programmes and energy savings delivered by households. In the framework of the energy transition, European Union (EU) directives are endorsing energy consumers to become full-fledged participants of the energy market, mostly via independent aggregator intermediaries. The flexibility aggregators have a very arduous role in collecting, optimising and settling aggregated flexibility delivered from heterogenous sources on the energy market. Novel business models incorporating both flexibility and energy savings opportunities from households’ consumers could deliver revenue diversification for flexibility aggregators and support them in overcoming technical and motivational challenges for activating consumers in the energy market. This paper discusses the main pillars for a sustainable flexibility aggregator business model which sums up the potential for flexibility placement on energy, ancillary services and energy savings markets. The main challenge identified in this work are the requirements for programme establishment, allowing the recognition and proper interpretation of energy savings triggered by short-term events and obtained by an aggregator via explicit demand response actions. This paper proposes possible solutions for a joint venture of a flexibility and energy savings aggregator, thus alleviating possible data collection problems. Collaborative efforts have been recognised in the establishment and maintenance of information and communication technologies and infrastructure, therefore facilitating continuous monitoring and verification of flexibility programmes which are able to deliver energy savings.
6
Khan, Saad Ullah, Khawaja Khalid Mehmood, Zunaib Maqsood Haider, Muhammad Kashif Rafique, Muhammad Omer Khan, and Chul-Hwan Kim. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders." Energies 14, no. 2 (January 11, 2021): 352. http://dx.doi.org/10.3390/en14020352.
Full textAbstract:
In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.
7
Khan, Saad Ullah, Khawaja Khalid Mehmood, Zunaib Maqsood Haider, Muhammad Kashif Rafique, Muhammad Omer Khan, and Chul-Hwan Kim. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders." Energies 14, no. 2 (January 11, 2021): 352. http://dx.doi.org/10.3390/en14020352.
Full textAbstract:
In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.
8
Aunul, Sofia, and Daniel Handoko. "Researches on LINE Today as News Aggregator." Jurnal Visi Komunikasi 21, no. 01 (July 22, 2022): 36. http://dx.doi.org/10.22441/visikom.v21i01.15120.
Full textAbstract:
News aggregator is as a process of taking news from published sources, then reshaping the news, and republishing it in a shorter form in one presentation. LINE today as news aggregator appeared on the third stage of the time line of online journalism in Indonesia. This paper attempts to highlight previous studies findings about LINE Today as news aggregator. News aggregator faces domino effect in which audiences think that news aggregator is not credible as a result of data mining gibing repetitive information. On the other hand, it is urgent that there should be encouragement of digital journalist competence to be familiar with aggregation. Later, this leads to the idea of slow technology as an antithesis of interactive technology (news aggregator) that is based on human-centered activity.
9
Freire, Nuno, René Voorburg, Roland Cornelissen, Sjors de Valk, Enno Meijers, and Antoine Isaac. "Aggregation of Linked Data in the Cultural Heritage Domain: A Case Study in the Europeana Network." Information 10, no. 8 (July 30, 2019): 252. http://dx.doi.org/10.3390/info10080252.
Full textAbstract:
Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data.
10
Bellini, Pierfrancesco, Ivan Bruno, Paolo Nesi, and Michela Paolucci. "IPR Centered Institutional Service and Tools for Content and Metadata Management." International Journal of Software Engineering and Knowledge Engineering 25, no. 08 (October 2015): 1237–70. http://dx.doi.org/10.1142/s0218194015500242.
Full textAbstract:
Multimedia services of cultural institutions need to be supported by content, metadata and workflow management systems to efficiently manage huge amount of content items and metadata production. Online digital libraries and cultural heritage institutions, as well as portals of publishers need an integrated multimedia back office in order to aggregate content collection and provide them to national and international aggregators, with respect to Intellectual Property Rights, IPR. The aim of this paper is to formalize and discuss requirements, modeling, design and validation of an institutional aggregator for metadata and content, coping with IPR Models for conditional access and providing content towards Europeana, the European international aggregator. This paper presents the identification of the Content Aggregator requirements for content management and IPR, and thus the definition and realization of a corresponding distributed architecture and workflow solution satisfying them. The main contributions of this paper consist of the formalization of IPR Model that enable the shortening of the activities for the IPR resolution, and avoid the assignment of conflicting rights/permissions during IPR model formalization, and thus of licensing. The proposed solution, models and tools have been validated in the case of the ECLAP service and results are reported in the paper. ECLAP Content Aggregator has been established by the European Commission to serve Europeana for the thematic area of Performing Arts institutions.
11
Al-Shammary, Dhiah. "Jaccard Coefficients based Clustering of XML Web Messages for Network Traffic Aggregation." Journal of Al-Qadisiyah for computer science and mathematics 11, no. 2 (September 6, 2019): 82–91. http://dx.doi.org/10.29304/jqcm.2019.11.2.592.
Full textAbstract:
This paper provides static efficient clustering model based simple Jaccard coefficients that supports XML messages aggregator in order to potentially reduce network traffic. The proposed model works by grouping only highly similar messages with the aim to provide messages with high redundancy for web aggregators. Web messages aggregation has become a significant solution to overcome network bottlenecks and congestions by efficiently reducing network volume by aggregating messages together removing their redundant information. The proposed model performance is compared to both K-Means and Principle Component Analysis (PCA) combined with K-Means. Jaccard based clustering model has shown potential performance as it only consumes around %32 and %25 processing time in comparison with K-Means and PCA combined with K-Means respectively. Quality measure (Aggregator Compression Ratio) has overcome both benchmark models
12
Mesibov, Robert. ""Look what they've done to our data!" — How Aggregators Change Data Items in Collection Records." Biodiversity Information Science and Standards 2 (June 15, 2018): e25906. http://dx.doi.org/10.3897/biss.2.25906.
Full textAbstract:
Aggregators such as the Atlas of Living Australia (ALA) and the Global Biodiversity Information Facility (GBIF) have recently been criticised for imposing "backbone taxonomies" on records provided by museums, herbaria and other sources. Taxon names may be changed to suit the backbone, with the result that the taxon rank of the record may change and the originally provided name may no longer be searchable online through the aggregator. Aggregators may also delete data items, either by omitting entire fields or rejecting data items not conforming to aggregator-specific data standards. Modifications are more common than deletions and are particularly worrying in geospatial, date and recorder data fields. It can be difficult to locate originally provided data on aggregator websites, even for individual records, and bulk downloads from aggregators typically mask the changes made. In this presentation I document the loss and modification of biodiversity data items by aggregators and suggest strategies for museums and herbaria to counter data loss and modification.
13
Jeon, Doh-Shin, and Nikrooz Nasr. "News Aggregators and Competition among Newspapers on the Internet." American Economic Journal: Microeconomics 8, no. 4 (November 1, 2016): 91–114. http://dx.doi.org/10.1257/mic.20140151.
Full textAbstract:
This paper studies how news aggregators affect the quality choices of newspapers competing on the Internet. To provide a micro-foundation for the role of the aggregator, we build a model of multiple issues where newspapers choose their quality on each issue. Our model captures well the main trade-off between the “ business-stealing” effect and the “ readership-expansion” effect. We find that the aggregator increases the quality only if the readership-expansion effect is large enough relative to the business-stealing effect. Using a condition obtained from empirical results, we find that the aggregator increases the quality and social welfare, but affects newspapers' profits ambiguously. (JEL D21, D22, L13, L82)
14
Deannova Ginting, Alfito, Rifa Aisatu Ulfa Zaini, Anna Agustina, and Selvi Septiani. "News Aggregator dan Nilai-Nilai Jurnalisme: Studi Penyajian Berita Pada Beritagar.Id." CoverAge: Journal of Strategic Communication 10, no. 1 (September 23, 2019): 27–36. http://dx.doi.org/10.35814/coverage.v10i1.1230.
Full textAbstract:
News aggregator is a new profession that emerges along with the abundance of information. This article aims to analyze the results of the work practices of the news aggregator whose roles are mostly held by journalists in Indonesia. The news aggregators who also work as journalists, have professional ethics guidelines in the corridor of the journalistic process where the journalistic code of ethics must be implemented, the elements of journalism need to be carried out, as well as the composition of news with information in accordance with 5W1H. This guideline becomes the concept of analyzing news content which in this study is focused on news content in beritagar.id. The results showed that the news aggregation office, in this case beritagar.id, ran a journalistic process according to journalism values. However, it is still not recognized as journalism since the principle of going to the field to collect data directly is important in the process of verifying journalistic product data. Interestingly, the results of this study indicate an increase in understanding of the journalistic process in media aggregators for senior journalists who began their careers in the mainstream media.
15
Luttenberger Marić, Leila, Hrvoje Keko, and Marko Delimar. "The Role of Local Aggregator in Delivering Energy Savings to Household Consumers." Energies 15, no. 8 (April 11, 2022): 2793. http://dx.doi.org/10.3390/en15082793.
Full textAbstract:
Energy communities, also known as renewable or citizen energy communities, can be a source of innovative aggregation solutions at the local level. The unleashed flexibility potential of households could provide self-balancing services for local energy communities or create new revenue streams for local flexibility aggregators. This paper proposes a methodology for the assessment of the energy savings potential of residential customers, factoring in local climatological conditions, energy consumption patterns, and building energy performance when the available input data are scarce. For baseline consumption modelling, the correlation between historical energy consumption data collected from a survey, building energy performance parameters, and the availability of flexibility assets was determined, taking into account the inconsistency between the quantity and quality of collected data from various consumers. For this purpose, a modelling approach using calculations for “Agent” buildings was used. In this way, each building user was assigned to a specific “Agent” with dedicated consumption characteristics for a flexibility asset. The capacities engaged in a flexibility programme were modelled according to the available flexibility assets, whilst the duration of a flexibility demand response (DR) event was considered a function of building energy performance characteristics, and consequently, activation strategies were applied. Additionally, several energy savings activation scenarios were modelled to interlink technical and behavioural constraints of household consumers. These constraints restrict the available flexibility, thus influencing the possibility of daily repetitions of a DR event and increasing savings with flexibility event activation. This model is intended to optimise flexibility assets provided by the end-users and, in this manner, deliver permanent energy savings, offering new business opportunities for aggregators or local energy communities. The novelty of this research is the recognition of an aggregator as a permanent energy savings provider, even if the obtained savings are very conservative per individual flexibility asset. Nevertheless, if properly aggregated and identified, the obtained savings could create novel business opportunities for a local aggregator.
16
Dingess, Michael, and Miroslaw Truszczynski. "Automated Aggregator - Rewriting with the Counting Aggregate." Electronic Proceedings in Theoretical Computer Science 325 (September 19, 2020): 96–109. http://dx.doi.org/10.4204/eptcs.325.17.
Full text
17
Kaplan, Svetlana, Alexander Kaplan, Karen F. Marcoe, William P. Hammond, Lloyd D. Fisher, and Lester R. Sauvage. "Citric Acid Enhances the Antithrombotic Effect of Aspirin in Many Aspirin-Resistant Subjects." Clinical and Applied Thrombosis/Hemostasis 3, no. 1 (January 1997): 54–57. http://dx.doi.org/10.1177/107602969700300108.
Full textAbstract:
This study had three objectives: (1) to determine the frequency of high platelet aggregators in a consecutive series of 268 apparently healthy volunteers who presented to our Center; (2) to assess the inhibitory effect of aspirin (ASA) on these high aggregators; (3) to determine, in a double-blind trial, whether or not the addition of citric acid (CTA) to ASA would increase its inhibitory effect in subjects who had a suboptimal response to aspirin alone. A platelet aggregation-scoring methodology developed for turbidimetric platelet aggregometry was used to quantify baseline aggregation and medicinal effects. We define a high aggregator as one whose unmedicated PA score is ≥30. We define the response of a high aggregator to ASA as poor if the medicated PA score stays at ≥30. We found that 58 of 268 apparently healthy unmedicated volunteers (22%) had PA scores ≥30. and that 27 of these (47%) had a poor response to 325 mg ASA, with an average drop in their PA scores from 49.5 ± 13.1 to 41.1 ± 8.6 (16%). Twenty-five of these 27 people were enrolled in the double-Mind study comparing the effect of ASA and ASA + CTA on platelet aggregability. Of these high aggregators who had a poor response to ASA, 12 of 25 (50%) had a good response to 162.5 mg of ASA plus 162.5 mg of CTA, with an average drop of their PA scores from 46.7 ± 13.2 to 22.0 ± 5.2 (53%). CTA alone had no effect on the PA score, which was similar to the control placebo. Our data suggest that a 1:1 combination of ASA and CTA may offer significantly greater protection agairtst arterial thrombotic events than ASA alone in subjects who respond poorly to ASA. Key Words: Platelet aggregation—Antithrombotic medication—Thrombosis.
18
Prieto-Castrillo, Francisco, Amin Shokri Gazafroudi, Javier Prieto, and Juan Manuel Corchado. "An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems." Complexity 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/5905932.
Full textAbstract:
This paper analyses customers’ demand flexibility in a local power trading scenario through an Ising spin-based model. We look at quantitative information on the two-way relationships between power exchanges and spin dynamics. To this end, a modified version of the Metropolis-Hastings algorithm was implemented, including a gradient descent through the constraint surface. This allowed us to analyse the system on a large scale (considering the cumulated benefit of all the actors involved) and also from the perspective of total aggregation. In a maximum flexibility scenario, the total aggregation profit increases with the number of aggregators. We also investigate numerically the effect of aggregator boundaries on the spin dynamics.
19
Kiryanov, Denis Aleksandrovich. "Research of the methods of creating content aggregation systems." Программные системы и вычислительные методы, no. 1 (January 2022): 9–31. http://dx.doi.org/10.7256/2454-0714.2022.1.37341.
Full textAbstract:
The subject of this research is the key methods for creating the architecture of information aggregators, methods for increasing scalability and effectiveness of such systems, methods for reducing the delay between the publication of new content by the source and emergence of its copy in the information aggregator. In this research, the content aggregator implies the distributed high-load information system that automatically collects information from various sources, process and displays it on a special website or mobile application. Particular attention is given to the basic principles of content aggregation: key stages of aggregation and criteria for data sampling, automation of aggregation processes, content copy strategies, and content aggregation approaches. The author's contribution consists in providing detailed description of web crawling and fuzzy duplicate detection systems. The main research result lies in the development of high-level architecture of the content aggregation system. Recommendations are given on the selection of the architecture of styles and special software regime that allows creating the systems for managing distributed databases and message brokers. The presented architecture aims to provide high availability, scalability for high query volumes, and big data performance. To increase the performance of the proposed system, various caching methods, load balancers, and message queues should be actively used. For storage of the content aggregation system, replication and partitioning must be used to improve availability, latency, and scalability. In terms of architectural styles, microservice architecture, event-driven architecture, and service-based architecture are the most preferred architectural approaches for such system.
20
Liu, Xiaofeng, Bingtuan Gao, and Yuanmei Li. "Bayesian Game-Theoretic Bidding Optimization for Aggregators Considering the Breach of Demand Response Resource." Applied Sciences 9, no. 3 (February 10, 2019): 576. http://dx.doi.org/10.3390/app9030576.
Full textAbstract:
Demand response (DR) aggregator controlling and aggregating flexible resource of residential users to participate in DR market will contribute the performance of DR project. However, DR aggregator has to face the risk that users may break the contract signed with aggregator and refuse to be controlled by aggregator due to the uncertainty factors of electricity consumption. Therefore, in this paper, community operator (i.e., DR aggregator) is proposed to equip auxiliary equipment, such as energy storage and gas boiler, to compensate for power shortage caused by users’ breach behavior. DR aggregated resource with different auxiliary equipment will have different characteristics, such as breach rate of DR resource. In the proposed DR framework, for selling the aggregated resource, community operator has to compete the market share with other operators in day-ahead DR market. In the competition, each operator will try its best to make the optimal bidding strategy by knowing as much information of its opponents as possible. But, some information of community operator (e.g., DR resource’s characteristic) belongs to privacy information, which is unknown to other operators. Accordingly, this paper focuses on the application of incomplete information game-theoretic framework to model the competition among community operators in DR bidding market. To optimize bidding strategy for the high profit with incomplete information, a Bayesian game approach is formulated. And, an effective iterative algorithm is also presented to search the equilibrium for the proposed Bayesian game model. Finally, a case study is performed to show the effectiveness of the proposed framework and Bayesian game approach.
21
Maulana, Ilham Fariq. "LINE TODAY DAN KUALITAS JURNALISME INDONESIA: STUDI EMPIRIK DAN META-ANALISIS KUALITATIF PADA AGREGATOR BERITA DIGITAL." Academic Journal of Da'wa and Communication 2, no. 1 (April 29, 2021): 1–28. http://dx.doi.org/10.22515/ajdc.v1i1.3311.
Full textAbstract:
This article aims to offer a conceptual study of the impacts of adjusting news writing that follow the presentation criteria and information distribution of LINE Today news aggregator. Through a literature review of various studies to obtain the relevant data on the impact of news aggregators on journalism and qualitative meta-synthesis to map out the concept networks from previous researches then synthesized to answer the research questions. This article provides a number of conceptualizations for further study development. This article addresses the impact of LINE Today news aggregators and the current conceptualization of the digital journalism industry based on three perspectives, namely: news presentation and reader preferences, newsroom & gatekeeping process; digital journalism industry practice and news aggregator.
22
Xu, Chang, Xiaodong Shen, Liehuang Zhu, and Yan Zhang. "A Collusion-Resistant and Privacy-Preserving Data Aggregation Protocol in Crowdsensing System." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3715253.
Full textAbstract:
With the pervasiveness and increasing capability of smart devices, mobile crowdsensing has been applied in more and more practical scenarios and provides a more convenient solution with low costs for existing problems. In this paper, we consider an untrusted aggregator collecting a group of users’ data, in which personal private information may be contained. Most previous work either focuses on computing particular functions based on the sensing data or ignores the collusion attack between users and the aggregator. We design a new protocol to help the aggregator collect all the users’ raw data while resisting collusion attacks. Specifically, the bitwise XOR homomorphic functions and aggregate signature are explored, and a novel key system is designed to achieve collusion resistance. In our system, only the aggregator can decrypt the ciphertext. Theoretical analysis shows that our protocol can capture k-source anonymity. In addition, extensive experiments are conducted to demonstrate the feasibility and efficiency of our algorithms.
23
Faria, Pedro, João Spínola, and Zita Vale. "Methods for Aggregation and Remuneration of Distributed Energy Resources." Applied Sciences 8, no. 8 (August 1, 2018): 1283. http://dx.doi.org/10.3390/app8081283.
Full textAbstract:
Distributed energy resource integration in power systems has advantages and challenges in both the economic and the technical operation of the system. An aggregator, as in the case of a Virtual Power Player, is essential in order to support the operation of these small size resources. Innovative approaches capable of supporting the decisions made in terms of resource scheduling, aggregation and remuneration are needed. The present paper addresses a methodology capable of managing resources through the activities of an aggregator, providing different choices of aggregation and remuneration strategies. The methodology is validated in a case study regarding a 21-bus network, composed of 20 consumers and 26 producers.
24
Boritz, J. Efrim, and Won Gyun No. "How Significant are the Differences in Financial Data Provided by Key Data Sources? A Comparison of XBRL, Compustat, Yahoo! Finance, and Google Finance." Journal of Information Systems 34, no. 3 (October 16, 2019): 47–75. http://dx.doi.org/10.2308/isys-52618.
Full textAbstract:
ABSTRACT We compare the financial statement data (excluding footnotes) reported by 105 randomly selected firms in their 10-K filings with data contained in XBRL filings and data reported by three data aggregators/distributors: Compustat, Google Finance, and Yahoo! Finance. We find that 48 percent to 63.2 percent of the 10-K financial statement items available in XBRL filings are not available from the aggregators/distributors. However, aggregator/distributor-provided data contain many financial items that are not in the official 10-K or XBRL filings but could be useful to users. For items included both in XBRL and by aggregators/distributors, all but 0.01 percent of the XBRL data amounts agree with the 10-K filings, whereas 6.5 percent to 7.7 percent of the amounts provided by aggregators/distributors do not, depending on the aggregator/distributor. Most differences are material, and the differences in items used in bankruptcy prediction and earnings quality models result in significant differences in the model results.
25
Markelova, A. A. "Civil liability of taxi-aggregation companies: Between contract and tort law." Digital Law Journal 2, no. 4 (December 30, 2021): 8–19. http://dx.doi.org/10.38044/2686-9136-2021-2-4-8-19.
Full textAbstract:
Technical and information progress undoubtably have an influence on the trade market and the consumer service sector of the modern economy. The sphere of taxi companies is no exception. When a user downloads a taxi-aggregation company’s application and orders a taxi, using its information about a carrier, this causes uncertainty in the qualifcation of the legal relationship between aggregator, carrier, and consumer. This ambiguity becomes critical if non-performance of the contract causes injury or non-pecuniary loss to a passenger. In this case, a concurrence arises between contact and tort qualifcation of the claim against the carrier and/or aggregator. The essay examines approaches to the distribution of liability between the aggregator, the carrier, and other persons who could contribute to causing harm, from the point of view of contract and tort law.
26
Wang, Peifeng, Jialong Han, Chenliang Li, and Rong Pan. "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7152–59. http://dx.doi.org/10.1609/aaai.v33i01.33017152.
Full textAbstract:
Knowledge graph embedding aims at modeling entities and relations with low-dimensional vectors. Most previous methods require that all entities should be seen during training, which is unpractical for real-world knowledge graphs with new entities emerging on a daily basis. Recent efforts on this issue suggest training a neighborhood aggregator in conjunction with the conventional entity and relation embeddings, which may help embed new entities inductively via their existing neighbors. However, their neighborhood aggregators neglect the unordered and unequal natures of an entity’s neighbors. To this end, we summarize the desired properties that may lead to effective neighborhood aggregators. We also introduce a novel aggregator, namely, Logic Attention Network (LAN), which addresses the properties by aggregating neighbors with both rules- and network-based attention weights. By comparing with conventional aggregators on two knowledge graph completion tasks, we experimentally validate LAN’s superiority in terms of the desired properties.
27
Kysil, Veronika. "Disadvantages of news aggregators in capitalist countries: overview and critique." Cuestiones Políticas 40, no. 75 (December 29, 2022): 769–80. http://dx.doi.org/10.46398/cuestpol.4075.45.
Full textAbstract:
The objectives of the article were to analyze the strengths, weaknesses, opportunities and threats of the most popular science news aggregators in capitalist countries, created as a communication tool between scientists and journalists. For the recent research the methods of analysis were used, especially SWOT analysis and synthesis method. 10 main criteria of science news aggregators were observed and highlighted by analyzing recent science news aggregators from all over the world such as: EurekaAlert, PhysOrg, ScienceDaily, Science Seeker and Open Science. As a result, the study looked at the dual issue of funding, where government funding of aggregators allows authorities to control the process of publishing information while support is stable. At the same time, crowdfunding funds or platforms allow an aggregator to exist without political bias, but without strong confidence in its future existence. The results obtained allow us to conclude that, the points considered in the relationship between capitalism and aggregators are of great importance to create a high-quality scientific news aggregator at national and international level.
28
Aliasghari, Parinaz, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Ali Ahmadian, and Ali Elkamel. "Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market." Energies 13, no. 7 (April 7, 2020): 1771. http://dx.doi.org/10.3390/en13071771.
Full textAbstract:
Selecting an appropriate contract price between electric vehicle aggregators and electric vehicle owners is an uncertain, multi-criteria decision-making issue. In addition, the results can cause strong conflict due to different aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively affects the cost for owners. The value of the contract price can change the optimal scheduling of EVAs in the day-ahead market. Taking into consideration this context, the current paper proposes to solve the multi-objective scheduling problem of an aggregator with a goal programming approach. The presented approach sets a satisfaction level for each goal according to decision-makers’ preference. Numerical results illustrate the validity of this approach to balance different performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.
29
Carvalho, José, Lautauro Matas, Washington Segundo, Paulo Graça, and Paulo Lopes. "Dos repositórios aos agregadores, o metamodelo de relações entre entidades: o caso LA Referencia e RCAAP." Páginas a&b : Arquivos & Bibliotecas, esp. (2020): 33–37. http://dx.doi.org/10.21747/21836671/pagnespc4.
Full textAbstract:
This proposal demonstrates the work done at the aggregator level to incorporate the concept of entities and their relationships in the repositories. To achieve this, technical interoperability guidelines have been implemented that allow the coexistence of repositories with and without entities and different types of aggregation according to the metadata schemes adopted locally. The purpose of these developments is to support a full representation of the repository data model but at the aggregator level and to provide value-added services for all embedded content.
30
Ananto, Sahrul Haetamy. "Perkembangan Industri Content Aggregator dalam Pemberitaan Online: Studi Kasus pada Konten Berita di Line Today." Journal of Education, Humaniora and Social Sciences (JEHSS) 3, no. 3 (March 3, 2021): 1097–112. http://dx.doi.org/10.34007/jehss.v3i3.492.
Full textAbstract:
The development of internet technology itself has had an influence on the existence of media, including the emergence of online media. Because online media allows for faster dissemination of information but sacrifices the basic principles of journalism, one of which is the accuracy of news. The Line Today feature as a product of internet development is an online news portal that positions itself as a content aggregator, namely a method of compiling news by publishing a number of news from other media. Therefore, the purpose of this study is to find out about the content aggregator in online news on the online news portal Line Today. This research is a qualitative descriptive study, data collection techniques using observation. By using the approach of medium theory, new media, and content aggregator, the results of this study indicate that the shift of conventional mass media to digital is part of the development of new media. It is also known that in online media, there is an important role for content aggregators as part of online news portals. In addition, as an online news portal that positions itself as a content aggregator, Line Today collects and selects news from online media that have collaborated to be republished.
31
Cortés Borray, Andrés Felipe, Julia Merino, Esther Torres, and Javier Mazón. "Optimal Coordination of PV Active Power Curtailment and EVs Charging among Aggregators." Applied Sciences 10, no. 20 (October 15, 2020): 7176. http://dx.doi.org/10.3390/app10207176.
Full textAbstract:
With the growing adoption of electric vehicles (EVs) and residential photovoltaic (PV) systems around the world, the distribution system operators (DSOs) are facing several technical challenges on their network planning and operation, particularly on low-voltage grids. As the aggregators are intermediary actors at that system level, they are a promising figure to coordinate these devices in an aggregated manner to help to mitigate adverse effects like overloading of network assets. However, to do so, proper coordination techniques among these entities and the DSO should be developed to avoid further investments in new network assets. In this context, a centralised coordination strategy among aggregators at the DSO level is proposed. By employing a linear programming model, the optimal export limit of PV and charging profile for each aggregator is dictated by the DSO, maintaining the operational limits of the network assets. A case study on two aggregators with moderate and critical penetration levels was carried out. Results show that, by controlling the aggregated export limit of PV power and the aggregated charging rate of EVs, high penetration levels can be integrated into current networks with minor or no need for reinforcing network infrastructure.
32
Casolino, Giovanni M., and Arturo Losi. "Load Areas in Radial Unbalanced Distribution Systems." Energies 12, no. 15 (August 6, 2019): 3030. http://dx.doi.org/10.3390/en12153030.
Full textAbstract:
The demand becoming flexible is a requirement for the full exploitation of renewable energy sources. Aggregation may foster the provision of flexibility by small-scale providers connected to distribution grids, since it allows offering significant flexibility volumes to the market. The aggregation of flexibility providers is carried out by the aggregator, a new market role and possibly a new market player. Location information of individual flexibility providers is necessary for both the aggregator and the system operators, in particular, the Distribution System Operator (DSO). For the former, information should allow treating a high number of individual flexibility providers as a single provider to offer significant flexibility volumes to the markets; for the latter, the information should ensure an adequate visibility of the connection of the individual providers to the grid. In the paper, the concept of Load Area (LA) is recalled, which combines the needs of location information of the aggregator and of the DSO. A method for the identification and modeling of LAs for the general case of unbalanced radial systems is proposed. The results of the methods’ application to two studied unbalanced networks are presented, showing the effectiveness and viability of the proposed approach.
33
Ernst, Johannes, and Alexander Koch. "Private Stream Aggregation with Labels in the Standard Model." Proceedings on Privacy Enhancing Technologies 2021, no. 4 (July 23, 2021): 117–38. http://dx.doi.org/10.2478/popets-2021-0063.
Full textAbstract:
Abstract A private stream aggregation (PSA) scheme is a protocol of n clients and one aggregator. At every time step, the clients send an encrypted value to the (untrusted) aggregator, who is able to compute the sum of all client values, but cannot learn the values of individual clients. One possible application of PSA is privacy-preserving smart-metering, where a power supplier can learn the total power consumption, but not the consumption of individual households. We construct a simple PSA scheme that supports labels and which we prove to be secure in the standard model. Labels are useful to restrict the access of the aggregator, because it prevents the aggregator from combining ciphertexts with different labels (or from different time-steps) and thus avoids leaking information about values of individual clients. The scheme is based on key-homomorphic pseudorandom functions (PRFs) as the only primitive, supports a large message space, scales well for a large number of users and has small ciphertexts. We provide an implementation of the scheme with a lattice-based key-homomorphic PRF (secure in the ROM) and measure the performance of the implementation. Furthermore, we discuss practical issues such as how to avoid a trusted party during the setup and how to cope with clients joining or leaving the system.
34
Khan, Saad, Khawaja Mehmood, Zunaib Haider, Muhammad Kashif Rafique, and Chul-Hwan Kim. "A Bi-Level EV Aggregator Coordination Scheme for Load Variance Minimization with Renewable Energy Penetration Adaptability." Energies 11, no. 10 (October 18, 2018): 2809. http://dx.doi.org/10.3390/en11102809.
Full textAbstract:
The provision of ancillary services by electric vehicles (EVs) such as load smoothing and renewable energy (RE) compensation in the form of an aggregated storage is more regulated in the smart grid context. As such, the presence of multiple EV aggregators in the distribution network requires adept supervision by the distribution system operator (DSO). In this paper, a coordination scheme of aggregators is proposed to smoothen the load profile of distribution networks by enacting EV discharging during peak load and off-peak charging, keeping in view the EV driving requirements. A bi-level on-line interaction procedure from the DSO to the aggregators and vice versa is devised to manage the aggregators based upon their energy capacity and requirements. The aggregators employ a water-filling algorithm in a two-step EV power allocation method. The proposed scheme operation is demonstrated on an medium voltage (MV) distribution feeder located in Seoul with its actual traffic density data. The results show the achievement of peak shaving and valley filling objectives under aggregator coordination and that the EVs are completely charged before departure. The effect of various EV penetration levels and adaptivity of the scheme to RE incorporation is also verified. Furthermore, a comparison with an existing peak shaving method shows the superior performance of the proposed scheme.
35
P, Vinish, Prakash Pinto, Iqbal Thonse Hawaldar, and Slima Pinto. "Antecedents of behavioral intention to use online food delivery services: an empirical investigation." Innovative Marketing 17, no. 1 (January 13, 2021): 1–15. http://dx.doi.org/10.21511/im.17(1).2020.01.
Full textAbstract:
The online food delivery market in India perseveres to grow at a sustained pace. The business has unique dynamics and challenges with the spike in orders during weekends, meeting delivery schedules during peak demand, offering deep discounts to address wavering customer loyalty, reducing cash burns, and managing food quality inconsistency. In contrast, the fast-paced life and the rise of millennials in the workforce is likely to assure a promising future for the food aggregators. The above backdrop has led the researchers to pursue this study. An empirical study was carried out to explore the consumption occasion and the antecedents of online food ordering in the select cities in Karnataka, India. The data was collected from 385 respondents through telephonic and mail survey using a structured questionnaire. The responses were analyzed using exploratory factor analysis and multiple regression. The result of the study indicated a positive association between the constructs ‘buying motives’, ‘aggregator attractiveness’, and customer satisfaction. The variation in customers` satisfaction is largely attributable to the convenience of order placing, food quality, availability of food and restaurant reviews, offers and discounts, faster home delivery, and the wide choice of restaurants listed on the aggregator’s website. Additionally, the aggregator attractiveness showed a higher impact on customer satisfaction as compared to buying motives.
36
Alam, Mohammad Shams. "Municipal Waste Aggregator." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 432–34. http://dx.doi.org/10.22214/ijraset.2019.4077.
Full text
37
Busby, Lorraine. "Elevating Aggregator Evaluation." Serials Librarian 69, no. 2 (August 18, 2015): 126–32. http://dx.doi.org/10.1080/0361526x.2015.1074439.
Full text
38
Blosser, John, Harriet Lightman, William A. McHugh, and Anna Ren. "Aggregator Services Evaluation." Serials Librarian 41, no. 1 (November 19, 2001): 65–78. http://dx.doi.org/10.1300/j123v41n01_05.
Full text
39
Ramalakshmi, R., S. Subash Prabhu, and C. Balasubramanian. "Detection of Compromised Nodes in Wireless Sensor Networks using GPSR Protocol and Iterative Filtering Algorithm." APTIKOM Journal on Computer Science and Information Technologies 1, no. 3 (November 1, 2016): 141–48. http://dx.doi.org/10.11591/aptikom.j.csit.122.
Full textAbstract:
The sensor network is used to observe surrounding area gathered and spread the information to other sink. The advantage of this network is used to improve life time and energy. The first sensor node or group of sensor nodes in the network runs out of energy. The aggregator node can send aggregate value to the base station. The sensor node can be used to assign initial weights for each node. This sensor node calculates weight for each node. Which sensor node weight should be lowest amount they can act as a cluster head. The joint node can send false data to the aggregator node and then these node controls to adversary. The dependability at any given instant represents an comprehensive behavior of participate to be various types of defects and misconduct. The adversary can send information to aggregator node then complexity will be occurred. These nodes are used to reduce the energy and band width.
40
Tao, Li, Jian Liu, Jianye Zou, and Lin Zhang. "Load Aggregator Purchase Optimization Strategy Considering Renewable Energy Quota." E3S Web of Conferences 165 (2020): 01018. http://dx.doi.org/10.1051/e3sconf/202016501018.
Full textAbstract:
The introduction of the renewable energy quota system has an impact on the benefits of all market players in the electricity market. This paper aimed at the decision making of load aggregators’ electricity purchase under the assessment of renewable energy quota. Firstly, the market subject, assessment method and strategy of renewable energy quota system were analyzed effectively. Then the scenario of electricity purchasing faced by load aggregators was described and the optimal decision-making model of electricity purchasing by load aggregators considering renewable energy quota was proposed. At last, the model proposed in this paper was verified by relevant examples, and the results show that the optimal purchasing strategy of load aggregator proposed in this paper had obvious economy.
41
Nazaire, Mare. "Integrating Data Quality Feedback: a Data Provider's Perspective." Biodiversity Information Science and Standards 2 (June 13, 2018): e26007. http://dx.doi.org/10.3897/biss.2.26007.
Full textAbstract:
The Herbarium of Rancho Santa Ana Botanic Garden [RSA-POM] is the third largest herbarium in California and consists of >1.2 million specimens, of which ~50% are digitized. As a data provider, RSA-POM publishes its data with several aggregators, including the Consortium of California Herbaria, JSTOR, Symbiota (which is subsequently pulled into iDigBio and GBIF), as well as its own local webportal. Each submission of data needs to be prepared and formatted according to the aggregator’s specifications for publication. Feedback on data quality (DQ) ranges from an individual user (often only a few records at a time) to large aggregators (frequently in large batches). While some DQ items are easy fixes with little time and effort to correct, others can be more challenging and often require expertise beyond the skillset of curatorial staff. In other instances, there are issues concerning an aggregator’s ability to provide updated data for repatriation. This talk will discuss the efforts of the RSA-POM Herbarium to provide data to various aggregators as well as perspectives on the challenges, limitations, and constraints when integrating DQ items from an aggregator back into the local database.
42
Pratama, Suprayuandi, and Yudistira Bagus Pratama. "Rancangan Dan Implementasi Aplikasi Konten Web News Aggregator Pada Perangkat Komunikasi Berbasis Android." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 5, no. 2 (April 28, 2022): 175–82. http://dx.doi.org/10.32672/jnkti.v5i2.4173.
Full textAbstract:
Abstrak— Berita merupakan kebutuhan pokok bagi masyarakat. Berita bisa didapatkan dengan berbagai cara. Berita yang didapatkan dari berbagai media seperti Koran, majalah, internet, dll. Berita yang didapatkan pada internet berada pada situs web. Agar lebih mudah mendapatkan berita pada situs web, maka diperlukannya sebuah aplikasi konten yang menyediakan layanan berita. Aplikasi konten yang menyediakan layanan berita disebut juga aggregator. Aggregator adalah aplikasi yang memanfaatkan Really Simple syndication sehingga pengguna bisa mengumpulkan berbagai macam berita dari berbagai website di dalam satu lokasi atau halaman. Really Simple syndication merupakan sebuah file berformat XML untuk sindikasi yang telah digunakan situs web berita Berita yang ditampilkan pada aggregator disebut dengan News Aggregator. Dengan aggregator,masyarakat akan lebih muda mendapatkan berita tersebut. Berita bisa kita dapatkan dengan menggunakan perangkat komunikasi yaitu handphone, tablet, laptop dan lainnya. Saat ini perangkat komunikasi yang sedang marak yaitu berbasis Android. Android adalah sistem operasi bergerak yang mengadopsi sistem operasi Linux, namun telah dimodifikasi. Aplikasi News Aggregator berguna pada perangkat komunikasi berbasis android supaya mempermudah masyarakat mendapatkan berita.Kata kunci: News Aggregator, Android, Perangkat KomunikasiAbstrak— News is a basic necessity for the community. News can be obtained in many ways. News obtained from various media such as newspapers, magazines, internet, etc. The news obtained on the internet is on the website. To make it easier to get news on a website, a content application is needed that provides news services. Content applications that provide news services are also called aggregator. Aggregator is an application that utilizes Really Simple syndication so that users can collect various kinds of news from various websites in one location or page. Really Simple syndication is an XML formatted file for syndication that has been used by news websites that are displayed on aggregator called News Aggregator. With aggregator, the community will be younger to get the news. News can be obtained by using communication devices, namely mobile phones, tablets, laptops and others. Currently, communication devices are rife, which is based on Android. Android is a mobile operating system that adopts the Linux operating system, but has been modified. The News Aggregator application is useful on android-based communication devices to make it easier for people to get news.Key: News Aggregator, Android, Communication Devices
43
Buttyán, Levente, and Péter Schaffer. "Position-Based Aggregator Node Election in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 6, no. 1 (January 1, 2010): 679205. http://dx.doi.org/10.1155/2010/679205.
Full textAbstract:
We introduce PANEL a position-based aggregator node election protocol for wireless sensor networks. The novelty of PANEL with respect to other aggregator node election protocols is that it supports asynchronous sensor network applications where the sensor readings are fetched by the base stations after some delay. In particular, the motivation for the design of PANEL was to support reliable and persistent data storage applications, such as TinyPEDS; see the study by Girao et al. (2007). PANEL ensures load balancing, and it supports intra and intercluster routing allowing sensor-to-aggregator, aggregator-to-aggregator, base station-to-aggregator, and aggregator to-base station communications. We also compare PANEL with HEED; see the study by Younis and Fahmy (2004) in the simulation environment provided by TOSSIM, and show that, on one hand, PANEL creates more cohesive clusters than HEED, and, on the other hand, that PANEL is more energy efficient than HEED.
44
Correa-Florez, Carlos, Andrea Michiorri, and Georges Kariniotakis. "Comparative Analysis of Adjustable Robust Optimization Alternatives for the Participation of Aggregated Residential Prosumers in Electricity Markets." Energies 12, no. 6 (March 15, 2019): 1019. http://dx.doi.org/10.3390/en12061019.
Full textAbstract:
Active participation of end users in energy markets is identified as one of the major challenges in the energy transition context. One option to bridge the gap between customers and the market is aggregators of smart homes or buildings. This paper presents an optimization model from the standpoint of an aggregator of residential prosumers who have PV panels, electric water heaters, and batteries installed at home level. This aggregator participates in the day-ahead energy market to minimize operation costs by controlling the settings of flexible devices. Given that energy prices, PV production, and demand have uncertain behavior, appropriate models should be used to include these effects. In the present work, Adjustable Robust Optimization (ARO) is used to include uncertainty in the optimization model, and a comparative study of modifications to this formulation is carried out to determine its potential and limitations. The comparative analysis is performed from the point of view of average cost and risk, after performing Monte Carlo simulation. Simulations show the advantages of using an ARO framework when compared to deterministic approaches and also allow us to conclude about the advantages of using the proposed alternative formulation to find more attractive solutions for an aggregator.
45
Mesibov, Robert. "An audit of some processing effects in aggregated occurrence records." ZooKeys 751 (April 20, 2018): 129–46. http://dx.doi.org/10.3897/zookeys.751.24791.
Full textAbstract:
A total of ca 800,000 occurrence records from the Australian Museum (AM), Museums Victoria (MV) and the New Zealand Arthropod Collection (NZAC) were audited for changes in selected Darwin Core fields after processing by the Atlas of Living Australia (ALA; for AM and MV records) and the Global Biodiversity Information Facility (GBIF; for AM, MV and NZAC records). Formal taxon names in the genus- and species-groups were changed in 13–21% of AM and MV records, depending on dataset and aggregator. There was little agreement between the two aggregators on processed names, with names changed in two to three times as many records by one aggregator alone compared to records with names changed by both aggregators. The type status of specimen records did not change with name changes, resulting in confusion as to the name with which a type was associated. Data losses of up to 100% were found after processing in some fields, apparently due to programming errors. The taxonomic usefulness of occurrence records could be improved if aggregators included both original and the processed taxonomic data items for each record. It is recommended that end-users check original and processed records for data loss and name replacements after processing by aggregators.
46
Aziz, Israa T., Hai Jin, Ihsan H. Abdulqadder, Sabah M. Alturfi, Wisam H. Alobaidi, and Firas M. F. Flaih. "T2S2G: A Novel Two-Tier Secure Smart Grid Architecture to Protect Network Measurements." Energies 12, no. 13 (July 3, 2019): 2555. http://dx.doi.org/10.3390/en12132555.
Full textAbstract:
False data injection (FDI) attacks are a major security threat to smart grid (SG) communication systems. In FDI attacks, the attacker has the ability of modifying the measurements transmitted by smart grid entities such as smart meters, buses, etc. Many solutions have been proposed to mitigate FDI attacks in the SG. However, most of these solutions rely on centralized state estimation (SE), which is computationally expensive. To engulf this problem in FDI attack detection and to improve security of SGs, this paper proposes novel two-tier secure smart grid (T2S2G) architecture with distributed SE. In T2S2G, measurement collection and SE are involved in first tier while compromised meter detection is involved in second tier. Initially the overall SG system is divided into four sections by the weighted quad tree (WQT) method. Each section is provided with an aggregator, which is responsible to perform SE. Measurements from power grids are collected by remote terminal units (RTUs) and encrypted using a parallel enhanced elliptic curve cryptography (PEECC) algorithm. Then the measurements are transmitted to the corresponding aggregator. Upon collected measurements, aggregator estimates state using the amended particle swarm optimization (APSO) algorithm in a distributed manner. To verify authenticity of aggregators, each aggregator is authenticated by a logical schedule based authentication (LSA) scheme at the control server (CS). In the CS, fuzzy with a neural network (FNN) algorithm is employed for measurements classification. Our proposed T2S2G shows promising results in the following performance metrics: Estimation error, number of protected measurements, detection probability, successful detection rate, and detection delay.
47
Menniti, D., A. Pinnarelli, N. Sorrentino, G. Brusco, L. Mendicino, and M. Mercuri. "Analysis of the Power Cloud Framework Benefits and the Role of the City Energy Provider in the New Italian Electricity Tariff Scenario." International Journal of Photoenergy 2020 (January 18, 2020): 1–14. http://dx.doi.org/10.1155/2020/3605498.
Full textAbstract:
The need to consume less and better energy pushes more and more to find efficient solutions at the individual end-user and community levels. The concept of an energy community is becoming increasingly popular, and recently, many studies try to demonstrate how an aggregation of end-users, which produces energy according to a distributed generation concept, is a mechanism able to overcome the increasingly tight constraints imposed by the electricity market, both for the end-user and for the network and market operators. In this context, the paper is aimed at verifying the convenience for both end-user and aggregator sides to operate in an aggregate form considering the new tariff scenario imposed in some European countries like Italy.
48
Galizina, Elena Grigorievna, Anna Borisovna Feoktistova, Sergey Anatolyevich Makushkin, Irina Eduardovna Korotaeva, Elena Yurievna Kartseva, and Natalia Udaltsova. "Customer-Oriented Aggregators of Massive Open Online Courses: Opportunities and Prospects." Webology 18, SI05 (October 30, 2021): 420–35. http://dx.doi.org/10.14704/web/v18si05/web18238.
Full textAbstract:
In recent years, the number of online courses known as massive open online courses (MOOC) has increased significantly. Such courses are available on online providers’ sites, such as edX and Coursera. As a result, there is a notable reduction of clarity in terms of various course offerings, and this causes a need to change the MOOC description schemes to help inform potential applicants. The article is aimed at identifying the capabilities of customer-oriented MOOC aggregators and the prospects for their further improvement. The article presents approaches to the concept of customer focus, based on which the definition of a customer-oriented aggregator is formulated. The article analyses course descriptions used by MOOC providers and aggregators for their potential students. Based on this analysis, the authors develop a set of categories describing MOOC, used for the creation of a new MOOC description according to the customer-oriented criteria. The authors conclude that the optimal descriptive MOOC scheme on the MOOC aggregator should satisfy both the academic environment and the customer-oriented criteria that correspond to students’ interests when choosing a MOOC.
49
Holczer, Tamás, and Levente Buttyán. "Anonymous Aggregator Election and Data Aggregation in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 7, no. 1 (January 2011): 828414. http://dx.doi.org/10.1155/2011/828414.
Full text
50
Zeng, Fei, Zhinong Wei, Guoqiang Sun, Mingshen Wang, and Haiteng Han. "Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection." Energies 16, no. 2 (January 11, 2023): 848. http://dx.doi.org/10.3390/en16020848.
Full textAbstract:
High penetration of renewable energy in the power grid causes serious frequency deviations. Large-scale integrations of electric vehicles (EVs) in the power grid provide considerable vehicle-to-grid potential for frequency regulation. Existing frequency regulation strategies with aggregated EVs realize accurate power control that relies on complete information interaction between the EV aggregator and individual EVs. However, the data collection for all EV parameters is not applicable due to privacy protection and the limited communication environment. Considering the limited data collection from grid-connected EVs, this paper provides a novel frequency regulation strategy and tends to address the uncertain influence from EV users’ charging requirements, the EV aggregator’s power regulation, and the frequency regulation performance. Firstly, considering the influence of the limited data collection by EVs on the users’ requirement of traveling and regulation preference, a probabilistic evaluation model for the available regulation capacity of the EV aggregator and the probabilistic control method for EVs are developed. Then, a frequency regulation strategy with error correction control and progressive regulation recovery is developed to simultaneously guarantee the system frequency regulation performance and the regulation requirements of EV users. Finally, case studies are carried out to validate the effectiveness of frequency regulation strategy for decreasing the uncertain influence from the limited data collection, ensuring the EV users’ requirements, and improving the system frequency stability.