Relevant bibliographies by topics / Resource allocation and economic dispatch

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Resource allocation and economic dispatch'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Resource allocation and economic dispatch"

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Li, Chaojie, Xinghuo Yu, Tingwen Huang, and Xing He. "Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch." IEEE Transactions on Neural Networks and Learning Systems 29, no. 6 (June 2018): 2407–18. http://dx.doi.org/10.1109/tnnls.2017.2691760.

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Wang, Dong, Mingfei Chen, and Wei Wang. "Distributed Extremum Seeking for Optimal Resource Allocation and Its Application to Economic Dispatch in Smart Grids." IEEE Transactions on Neural Networks and Learning Systems 30, no. 10 (October 2019): 3161–71. http://dx.doi.org/10.1109/tnnls.2018.2890115.

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Yi, Peng, Yiguang Hong, and Feng Liu. "Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems." Automatica 74 (December 2016): 259–69. http://dx.doi.org/10.1016/j.automatica.2016.08.007.

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Huang, Guodong, Dan Xu, Zhiqiang Luo, Qiang Ding, Min Li, and Hongtu Zhang. "Research on the Construction of Security Constrained Economic Dispatch Scenarios for Large-scale Power Grid." E3S Web of Conferences 57 (2018): 03002. http://dx.doi.org/10.1051/e3sconf/20185703002.

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Large-scale power grid security constrained economic dispatch is an effective technical means to solve the optimal allocation of resources in a large area. Based on the characteristics of dispatching plan in the State Grid Corporation, a processing strategy for optimizing objectives, planning adjustments, and basic data integration is proposed. A method of constructing a large-scale power grid security constrained economic dispatching scenario based on strategies combination is established, and the adaptability of different scenarios and the difficulty in constructing the corresponding model are analyzed. Multi-scenario construction aims at solving different problems in different scenarios and is a useful method for improving the availability and practicality of large-scale power grid security constrained economic dispatching technologies.
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Sang, Zixia, Jiaqi Huang, Dongjun Yang, Jiong Yan, Zhi Du, and Rengcun Fang. "An Initialization-free Distributed Algorithm for Power Dispatch Problem with Multiple Resources of Future Distribution Network." International Journal on Artificial Intelligence Tools 29, no. 07n08 (November 30, 2020): 2040006. http://dx.doi.org/10.1142/s0218213020400060.

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With the gradual development of bidirectional interacted future distribution network, it is necessary to enter distributed clean power sources with various characteristics, including wind turbine and solar panel. Traditional centralized control has difficulties to fulfill the demands of future distribution networks for safe, stable, and efficient operation. Aiming at the constrained power allocation problem widely studied in smart grid, with the cooperative control algorithm of continuous multi-agent system, this paper proposed a distributed optimization allocation strategy, which is free by the initial state. The proposed distributed algorithm implements parameterization by adding auxiliary variables. In the iterative process, the algorithm only needs to know the state of the distributed power supply of the neighbor, and finally solve the global optimal solution of the system. The simulations prove that the proposed scheme can effectively improve the economic dispatch performance. Furthermore, comparing to the existing algorithm, the proposed algorithm achieves faster optimal solution.
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Short, Michael, Sergio Rodriguez, Richard Charlesworth, Tracey Crosbie, and Nashwan Dawood. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach." Energies 12, no. 22 (November 13, 2019): 4320. http://dx.doi.org/10.3390/en12224320.

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Demand response (DR) involves economic incentives aimed at balancing energy demand during critical demand periods. In doing so DR offers the potential to assist with grid balancing, integrate renewable energy generation and improve energy network security. Buildings account for roughly 40% of global energy consumption. Therefore, the potential for DR using building stock offers a largely untapped resource. Heating, ventilation and air conditioning (HVAC) systems provide one of the largest possible sources for DR in buildings. However, coordinating the real-time aggregated response of multiple HVAC units across large numbers of buildings and stakeholders poses a challenging problem. Leveraging upon the concepts of Industry 4.0, this paper presents a large-scale decentralized discrete optimization framework to address this problem. Specifically, the paper first focuses upon the real-time dispatch problem for individual HVAC units in the presence of a tertiary DR program. The dispatch problem is formulated as a non-linear constrained predictive control problem, and an efficient dynamic programming (DP) algorithm with fixed memory and computation time overheads is developed for its efficient solution in real-time on individual HVAC units. Subsequently, in order to coordinate dispatch among multiple HVAC units in parallel by a DR aggregator, a flexible and efficient allocation/reallocation DP algorithm is developed to extract the cost-optimal solution and generate dispatch instructions for individual units. Accurate baselining at individual unit and aggregated levels for post-settlement is considered as an integrated component of the presented algorithms. A number of calibrated simulation studies and practical experimental tests are described to verify and illustrate the performance of the proposed schemes. The results illustrate that the distributed optimization algorithm enables a scalable, flexible solution helping to deliver the provision of aggregated tertiary DR for HVAC systems for both aggregators and individual customers. The paper concludes with a discussion of future work.
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Banerjee, Swaraj, and Dipu Sarkar. "Emission Constrained Optimal Allocation of Generation using AWDO Technique." International Journal of Smart Grid and Sustainable Energy Technologies 2, no. 1 (December 18, 2019): 88–96. http://dx.doi.org/10.36040/ijsgset.v2i1.221.

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The current work introduces a meta-heuristic solution of an emission constrained optimal generation scheduling problem on the Distributed Energy Resources (DERs). The Combined Economic Emission Dispatch (CEED) problem reflects the environmental effects from the gaseous pollutants from fossil-fueled power generating plants. The CEED is a method for scheduling the generation considering both emission and generation cost meeting the needs of satisfying all operational constraints and load demand as well. The CEED problem has been formulated as a multi-objective problem and that later has been converted into a single objective function using price penalty factor. A comparatively new meta-heuristic nature-inspired global optimization method, Adaptive Wind Driven Optimization (AWDO), has been proposed to solve the CEED problem solution. The key objective is to solve the CEED problem with the proposed algorithm and analyze its effectiveness of with the help of the simulation results which later have been compared with other existing algorithms for two test systems (10 thermal units and 40 thermal units) and AWDO has proved to be the best and most powerful amongst them.
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Bi, Jun, Zhen Wu, Lei Wang, Dongfan Xie, and Xiaomei Zhao. "A Tabu Search-Based Algorithm for Airport Gate Assignment: A Case Study in Kunming, China." Journal of Advanced Transportation 2020 (November 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/8835201.

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An airport gate is the core resource of an airport operation, which is an important place for passengers to get on and off the aircraft and for maintaining aircraft. It is the prerequisite for other related dispatch. Effective and reasonable allocation of gates can reduce airport operating costs and increase passenger satisfaction. Therefore, an airport gate assignment problem (AGAP) needs to be urgently solved in the actual operation of the airport. In this paper, considering the actual operation of the airport, we formulate an integer programming model for AGAP by considering multiple constraints. The model aims to maximize the number of passengers on flights parked at the gate. A tabu search-based algorithm is designed to solve the problem. In the process of algorithm design, an effective initial solution is obtained. A unique neighborhood structure and search strategy for tabu search are designed. The algorithm can adapt to the dynamic scheduling of airports. Finally, tests are performed using actual airport data selected from Kunming Changshui International Airport in China. The experimental results indicate that the proposed method can enhance the local search ability and global search ability and get satisfactory results in a limited time. These results provide an effective support for the actual gate assignment in airport operations.
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Qing, Ganghua, Yifan Luo, Weiwei Huang, Wanjue Wang, Zijing Yue, Jie Wang, Qingyi Li, Shuhan Jiang, and Shien Sun. "Driving Factors of Energy Consumption in the Developed Regions of Developing Countries: A Case of Zhejiang Province, China." Atmosphere 12, no. 9 (September 15, 2021): 1196. http://dx.doi.org/10.3390/atmos12091196.

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Regional energy development and approaches are significant for China’s overall economic and social development. The GDP in Zhejiang province surpassed 6 trillion yuan in 2019, and its energy consumption reached 200 million tons of standard coal (tce), both of which are at the forefront of China. In order to explore the main factors of the increase in energy consumption in Zhejiang and provide essential references for energy saving and other provinces, this paper analyzes the total energy consumption and industrial sectors on the basis of the logarithmic mean divisia index (LMDI) model. Study results show that the economy’s scale is the most crucial factor affecting Zhejiang’s energy consumption, with a significant growth effect. In 2015, the scale effect increased energy consumption to the highest value of 14 million tce and then reduced it to 13 million tce in 2019. The impact of the population on energy consumption increased by 10 million tce from 2010 to 2019. Energy intensity reduces energy consumption by between 0.05 and 0.15 billion tce per year, which is the main factor in reducing energy consumption. The energy structure generally plays a weak positive role due to the different energy types. The decomposition of the energy consumption per unit of value added in the industrial sector showed that the intensity and structural effect primarily reduce energy consumption, for example, the metal smelting and rolling, textile printing and paper, electric power, heating, and other industries. According to the results, enterprises should enhance the intelligence and efficiency of dispatch management and emergency responses. Zhejiang should also accelerate an international oil and gas trading center and resource allocation base to reach its carbon-neutrality goal.
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Du, Lin. "Medical Emergency Resource Allocation Model in Large-Scale Emergencies Based on Artificial Intelligence: Algorithm Development." JMIR Medical Informatics 8, no. 6 (June 25, 2020): e19202. http://dx.doi.org/10.2196/19202.

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Background Before major emergencies occur, the government needs to prepare various emergency supplies in advance. To do this, it should consider the coordinated storage of different types of materials while ensuring that emergency materials are not missed or superfluous. Objective This paper aims to improve the dispatch and transportation efficiency of emergency materials under a model in which the government makes full use of Internet of Things technology and artificial intelligence technology. Methods The paper established a model for emergency material preparation and dispatch based on queueing theory and further established a workflow system for emergency material preparation, dispatch, and transportation based on a Petri net, resulting in a highly efficient emergency material preparation and dispatch simulation system framework. Results A decision support platform was designed to integrate all the algorithms and principles proposed. Conclusions The resulting framework can effectively coordinate the workflow of emergency material preparation and dispatch, helping to shorten the total time of emergency material preparation, dispatch, and transportation.
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Dissertations / Theses on the topic "Resource allocation and economic dispatch"

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Caceres-Delpiano, Julio F. "Testing economic models of household resource allocation." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2905.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Davy, Simon Mark. "Decentralised economic resource allocation for computational grids." Thesis, University of Leeds, 2008. http://etheses.whiterose.ac.uk/1369/.

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Grid computing is the concept of harnessing the power of many computational resources in a transparent manner. It is currently an active research area, with significant challenges due to the scale and level of heterogeneity involved. One of the key challenges in implementing grid systems is resource allocation. Currently, centralised approaches are employed that have limited scalability and reliability, which is a key factor in achieving a usable grid system. The field of economics is the study of allocating scarce resources using economic mechanisms. Such systems can be highly scalable, robust and adaptive and as such are a potential solution to the grid allocation problem. There is also a natural fit of the economic allocation metaphor to grid systems, given the diversity of autonomy of grid resources. We propose that an economic system is a suitable mechanism for grid resource allocation. We propose a simple market mechanism to explore this idea. Our system is a fully decentralised economic allocation scheme, which aims to achieve a high degree of scalability and reliability, and easily allows resources to retain their autonomy. We implement a simulation of a grid system to analyse this system, and explore its performance and scalability, with a comparison to existing systems. We use a network to facilitate communication between participating agents, and we pay particular attention to the topology of the network between participating agents, examining the effects of different topologies on the performance of the system.
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Tsang, Chun Kei. "Three essays on economic structure and resource allocation." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/748.

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This thesis aims at studying the issues of economic structure and resource allocation in development. Chapter 1 provides an introduction to economic development and gives an overview of this thesis. Chapter 2 reviews some theories and models about economic structure and structural change and points out that resource allocation is a critical factor in changing the economic structure. Five characteristics of economic structure and structural change are summarized. Essay 1 in Chapter 3 investigates the relationship between competitiveness and economic growth. Adopting the Global Competitiveness Index to represent competitiveness, we empirically show that there is a two-way causal relationship between competitiveness and economic growth. We further identify that the relationship between competitiveness and economic growth change in different development stages. Specifically, better competitiveness can enhance economic growth but not vice versa in developing countries. We therefore relate such a difference to the ability to transform resources into competitiveness. This is fundamentally a question about resource allocation. Finally, we link structural change with economic growth and show that enhancing competitiveness is equivalent to improving the capacity to change the economic structure. Essay 2 in Chapter 4 studies the impacts of sub-optimal resource allocation on economic growth by applying a new model to the case of the effectiveness of official development assistance (ODA). This new model analyzes economic growth through structural change by the difference between the observed and optimal levels of competitiveness. Regarding the positive and negative impacts of foreign aid on the receiving country in the literature, we show that the net impact of ODA depends on the value of bias caused by inefficient allocation of resources and the adoption of a biased value system. As a result, both positive and negative views of ODA in the literature are somewhat correct. In principle, ODA does work in the sense of helping needy countries providing they can allocate such additional resources efficiently. The cruel truth is that most receivers of ODA are unable to transform these resources to productive uses and even lower their economic growth. The development aid country donors or global institutions may therefore have to review their existing policy for granting aid.Essay 3 in Chapter 5 introduces a new framework to study two important structural issues in China: regional fragmentation and ownership distortion. We extend the output-oriented structural efficiency measure to include subgroups to evaluate potential gains of improving resource allocation within and among subgroups. The new framework is then applied to China's industrial sector. Applying our new method for policymaking, the empirical results advocate prioritizing ownership reform over regional reform in China. Specifically, by improving resource allocation among different ownerships, outputs of the whole industrial sector can be increased by 21% of the observed level. In contrast, the potential gains of reallocating resources between western and non-western regions are less than 1%. Such a conclusion cannot be drawn from other existing models of efficiency analysis. Finally, Chapter 6 concludes the whole thesis.
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Li, Faming. "Economic resource allocation in system simulation and control design." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3208009.

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Thesis (Ph. D.)--University of California, San Diego, 2006.
Title from first page of PDF file (viewed May 18, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 127-131).
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Gunchinsuren, Enkhtuvshin. "Essays on Factor Returns, Resource Allocation and Economic Development." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429569565.

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Lai, John Kwang. "Truthful and Fair Resource Allocation." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10928.

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How should we divide a good or set of goods among a set of agents? There are various constraints that we can consider. We consider two particular constraints. The first is fairness - how can we find fair allocations? The second is truthfulness - what if we do not know agents valuations for the goods being allocated? What if these valuations need to be elicited, and agents will misreport their valuations if it is beneficial? Can we design procedures that elicit agents' true valuations while preserving the quality of the allocation? We consider truthful and fair resource allocation procedures through a computational lens. We first study fair division of a heterogeneous, divisible good, colloquially known as the cake cutting problem. We depart from the existing literature and assume that agents have restricted valuations that can be succinctly communicated. We consider the problems of welfare-maximization, expressiveness, and truthfulness in cake cutting under this model. In the second part of this dissertation we consider truthfulness in settings where payments can be used to incentivize agents to truthfully reveal their private information. A mechanism asks agents to report their private preference information and computes an allocation and payments based on these reports. The mechanism design problem is to find incentive compatible mechanisms which incentivize agents to truthfully reveal their private information and simultaneously compute allocations with desirable properties. The traditional approach to mechanism design specifies mechanisms by hand and proves that certain desirable properties are satisfied. This limits the design space to mechanisms that can be written down and analyzed. We take a computational approach, giving computational procedures that produce mechanisms with desirable properties. Our first contribution designs a procedure that modifies heuristic branch and bound search and makes it usable as the allocation algorithm in an incentive compatible mechanism. Our second contribution draws a novel connection between incentive compatible mechanisms and machine learning. We use this connection to learn payment rules to pair with provided allocation rules. Our payment rules are not exactly incentive compatibility, but they minimize a measure of how much agents can gain by misreporting.
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Rajan, Balaji. "A security constrained ac economic dispatch framework for allocation of balanced and unbalanced financial transmission rights." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001161.

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Burgwin, Drew H. "Comparison of dispatch call evaluation to patient acuity and the resulting resource allocation in emergency medical services." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ54581.pdf.

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Custer, Brian Scott. "Blood safety and resource allocation : economic analyses of donated blood safety initiatives /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/7964.

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Kennedy, Christine. "Evaluating health interventions : a comparison of cost-benefit analysis and cost-effectiveness analysis employing radon-induced lung cancer prevention." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365808.

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Books on the topic "Resource allocation and economic dispatch"

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Haddad, Lawrence James. Intrahousehold resource allocation: An overview. Washington, DC (1818 H St., NW, Washington 20433): World Bank, 1994.

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S, Feldstein Martin. The CEA: From stabilization to resource allocation. Cambridge, MA: National Bureau of Economic Research, 1997.

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Mays, Nicholas B. Resource allocation in the health service: A review of the methods of the Resource Allocation Working Party (RAWP). London: Bedford Square / NCVO, 1987.

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Board, NHS Management. Review of the Resource Allocation Working Party formula. (London): Department of Health and Social Security, 1988.

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T, Peach James, ed. Economic abundance: An introduction. Armonk, N.Y: M.E. Sharpe, 2009.

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Unger, Peter. Procesy alokacji w nowoczesnej gospodarce: Państwo a rynek. Katowice: Wydawn. Uniwersytetu Śląskiego, 1996.

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Siru, Xiao, ed. Zhongguo jing ji zi yuan pei zhi di li lun yu shi jian. Beijing: Zhongguo cai zheng jing ji chu ban she, 1998.

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Zhongji, Wu, ed. Long duan yu bo xue: Wei quan zhu yi di zheng zhi jing ji fen xi. Taibei Shi: Taiwan yan jiu ji jin hui, 1989.

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Gera, Prema. Operational strategies for people's initiatives in local resource management: A country paper. New Delhi: Environment Systems Branch, Development Alternatives, 1993.

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Chambers, Jay G. Measuring resources in education: From accounting to the resource cost model approach. [Washington, DC]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1999.

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Book chapters on the topic "Resource allocation and economic dispatch"

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Aubin, Jean-Pierre. "Dynamical Resource Allocation." In Studies in Economic Theory, 91–134. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60756-1_3.

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Ide, Masasuke. "Economic Systems and Resource Allocation." In Japanese Corporate Finance and International Competition, 3–15. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-26238-0_1.

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Dye, Ronald A. "Intrafirm Resource Allocation and Discretionary Actions." In Economic Analysis of Information and Contracts, 349–72. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2667-7_13.

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Shelar, Devendra, Saurabh Amin, and Ian Hiskens. "Toward Resilience-Aware Resource Allocation and Dispatch in Electricity Distribution Networks." In Energy Markets and Responsive Grids, 461–89. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7822-9_19.

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Tisdell, Clement. "Prices, Markets and Resource Allocation in China." In Economic Development in the Context of China, 135–51. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1057/9780230380189_9.

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Paltiel, A. David, and Aaron A. Stinnett. "Resource Allocation and the Funding of HIV Prevention." In Handbook of Economic Evaluation of HIV Prevention Programs, 135–52. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-1878-9_10.

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Choudhury, Masudul Alam. "Resource Endowment and Allocation in Islamic Countries for Economic Co-operation." In Islamic Economic Co-operation, 133–58. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-09902-3_6.

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Choudhury, Masudul Alam. "The Role of Zakah, the Islamic Quasi Wealth Tax, in Resource Allocation." In Contributions to Islamic Economic Theory, 51–71. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-07728-1_6.

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Eymann, T., M. Reinicke, O. Ardaiz, P. Artigas, L. Díaz de Cerio, F. Freitag, R. Messeguer, L. Navarro, D. Royo, and K. Sanjeevan. "Decentralized vs. Centralized Economic Coordination of Resource Allocation in Grids." In Grid Computing, 9–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24689-3_2.

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Edlin, Richard, Christopher McCabe, Claire Hulme, Peter Hall, and Judy Wright. "Economic Evaluation, Cost Effectiveness Analysis and Health Care Resource Allocation." In Cost Effectiveness Modelling for Health Technology Assessment, 1–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15744-3_1.

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Conference papers on the topic "Resource allocation and economic dispatch"

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Yu, Weiyong, Zhenhua Deng, Hongbing Zhou, and Yiguang Hong. "Distributed resource allocation optimization with discrete-time communication and application to economic dispatch in power systems." In 2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017). IEEE, 2017. http://dx.doi.org/10.1109/coase.2017.8256268.

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Guedes, Ricardo, Vasco Furtado, and Tarcisio Pequeno. "Multiagent models for police resource allocation and dispatch." In 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC). IEEE, 2014. http://dx.doi.org/10.1109/jisic.2014.57.

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Tota, Praneeth, Sanjiv Kapoor, and Benjamin Grimmer. "Economic inefficiency in resource allocation games." In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2017. http://dx.doi.org/10.1109/allerton.2017.8262807.

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Mathias, Joel, Robert Moye, Sean Meyn, and Joseph Warrington. "State Space Collapse in Resource Allocation for Demand Dispatch." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029384.

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Ahmadi-Khatir, Ali, Amir Motamedi, Naser Sadati, Kia Fallahi, and Bahareh Fathi. "Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming." In 2008 40th North American Power Symposium (NAPS). IEEE, 2008. http://dx.doi.org/10.1109/naps.2008.5307355.

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Wahyuda, Budi Santosa, and Ahmad Rusdiansyah. "Load allocation of power plant using multi echelon economic dispatch." In 3RD INTERNATIONAL MATERIALS, INDUSTRIAL AND MANUFACTURING ENGINEERING CONFERENCE (MIMEC2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5010624.

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Yang Liu and Huacan He. "An economic policy constrained grid resource allocation algorithm." In 2007 International Symposium on Communications and Information Technologies. IEEE, 2007. http://dx.doi.org/10.1109/iscit.2007.4392102.

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Peng, Hao, Qiuping Guo, and Zixiang Xia. "Competition, Disclosure and Optimal Information Resource Allocation." In Fifth International Conference on Economic and Business Management (FEBM 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.201211.026.

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Liu, Chao, Juanli Lan, Honghong Zhang, and Xiaoxue Du. "Resource Allocation Based on LSMT Architecture Perspective." In 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icesem-18.2018.91.

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Menouer, Tarek, and Christophe Cerin. "Scheduling and Resource Management Allocation System Combined with an Economic Model." In 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC). IEEE, 2017. http://dx.doi.org/10.1109/ispa/iucc.2017.00123.

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Reports on the topic "Resource allocation and economic dispatch"

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Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2021/0074.

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South Africa is a country with significant socio-economic development challenges, with the majority of South Africans having limited or non-existent access to basic infrastructure, services, housing and socio-economic opportunities etc. The urban housing backlog currently exceeds 2.4 million houses, with many families living in informal settlements. The Breaking New Grounds Policy, 2014 for the creation of sustainable human settlements, acknowledges the challenges facing human settlements, such as, decreasing human settlements grants allocation, increasing housing backlog, mushrooming of informal settlements and urbanisation. The White Paper on Science, Technology and Innovation (STI), 2019 notes that South Africa has not yet fully benefited from the potential of STI in addressing the socio-economic challenges and seeks to support the circular economy principles which entail a systematic change of moving to a zero or low waste resource-efficient society. Further to this, the Science and Technology Roadmap’s intention is to unlock the potential of South Africa’s human settlements for a decent standard of living through the smart uptake of science, technology and innovation. One such novel technology is the Three-Dimensional (3D) printing technology, which has produced numerous incredible structures around the world. 3D printing is a computer-controlled industrial manufacturing process which encompasses additive means of production to create 3D shapes. The effects of such a technology have a potential to change the world we live in and could subsequently pave the roadmap to improve on housing delivery and reduce the negative effects of conventional construction methods on the environment. To this end, the Academy of Science of South Africa (ASSAf), in partnership with the Department of Science and Innovation (DSI) and the University of Johannesburg (UJ) hosted the second virtual IID seminar titled: Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements, on 01 March 2021 to explore the potential use of 3D printing technology in human settlements. The webinar presented preliminary findings from a study conducted by UJ, addressing the following topics: 1. The viability of 3D printing technology 2. Cost comparison of 3D printed house to conventional construction 3. Preliminary perceptions on 3D printing of houses Speakers included: Dr Jennifer Mirembe (NDoHS), Dr Jeffrey Mahachi, Mr Refilwe Lediga, Mr Khululekani Ntakana and Dr Luxien Ariyan, all from UJ. There was a unanimous consensus that collaborative efforts from all stakeholders are key to take advantage of this niche technology. @ASSAf_Official; @dsigovza; @go2uj; @The_DHS; #SA 3D_Printing; #3D Print_Housing; #IID
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