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Статті в журналах з теми "Retail electricity provider"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Blohm, Andrew, Jaden Crawford, and Steven A. Gabriel. "Demand Response as a Real-Time, Physical Hedge for Retail Electricity Providers: The Electric Reliability Council of Texas Market Case Study." Energies 14, no. 4 (2021): 808. http://dx.doi.org/10.3390/en14040808.

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Residential demand response (DR) programs are generally administered through an electricity distribution utility, or an electric grid operator. These programs typically reduce electricity consumption by inducing behavioral changes in the occupants of participating households. We propose implementing a wholesale-price-sensitive residential DR program through the retail electricity provider (REP), who has more naturally aligned incentives to avoid high wholesale electricity prices and maintain customer satisfaction, as compared to distribution utilities, grid operators, and the average residenti

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2

Nozaki, Kohei, and Teruhisa Kumano. "Effect of Demand Forecast Error on Imbalance Cost in Residential Micro Grid." Renewable Energy and Power Quality Journal 20 (September 2022): 458–63. http://dx.doi.org/10.24084/repqj20.340.

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In this paper, we conduct electric power simulation by forecasting electricity demand in general households with PV power generation based on the current electricity supply and demand system in Japan. Specifically, forecast errors for electricity demand in general households are taken into account, and machine learning is used to forecast the output of residential photovoltaic power generation. The actual electricity demand, which is the difference between the electricity demand in general households and the PV output, is then calculated, and the degree of contribution of the assumed model to

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3

Kusumaningdyah, Widha, Tetsuo Tezuka, and Benjamin C. McLellan. "Investigating Preconditions for Sustainable Renewable Energy Product–Service Systems in Retail Electricity Markets." Energies 14, no. 7 (2021): 1877. http://dx.doi.org/10.3390/en14071877.

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Energy transitions are complex and involve interrelated changes in the socio-technical dimensions of society. One major barrier to renewable energy transitions is lock-in from the incumbent socio-technical regime. This study evaluates Energy Product–Service Systems (EPSS) as a renewable energy market mechanism. EPSS offer electricity service performance instead of energy products and appliances for household consumers. Through consumers buying the service, the provider company is enabled to choose, manage and control electrical appliances for best-matched service delivery. Given the heterogeno

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4

Azizia, Via Hamida Dwita Noer, and Syamsul Huda. "POTENTIAL AREA ANALYSIS IN THE AGROPOLITAN DEVELOPMENT AREA IN BOJONEGORO REGENCY, EAST JAVA PROVINCE, INDONESIA." Jurnal REP (Riset Ekonomi Pembangunan) 7, no. 1 (2022): 25–40. http://dx.doi.org/10.31002/rep.v7i1.56.

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The purpose of this study is to analyze the potential of the region in developing an agropolitan area in Bojonegoro Regency, East Java Province through the location quotient, shift share. Data collection techniques generally used primary and secondary survey methods. The results show that based on the results of the Location Quotient (LQ) calculation in Bojonegoro sub-district which are included in the base sector, namely the mining sector, government administration sector, information and communication sector and the mining sector. is; agriculture sector, mining and quarrying sector, manufact

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5

Rahman, Md Mostafijur, Mahesh Babu Pasupuleti, and Harshini Priya Adusumalli. "Advanced Metering Infrastructure Data: Overviews for the Big Data Framework." ABC Research Alert 7, no. 3 (2019): 159–68. http://dx.doi.org/10.18034/ra.v7i3.602.

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The Advanced Metering Infrastructure (AMI) statistics provide real-time information about power use as well as social, demographic, and economic aspects within a community. This study proposes a Data Analytics/Big Data architecture for leveraging AMI data in Smart City applications. The framework has three main components. First, the architectural view positions AMI within the SGAM. Second, the methodological view describes the DIKW hierarchy and NIST Big Data interoperability model's translation of raw data into knowledge. Finally, human expertise and talents to analyze the results and transl

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6

Pasupuleti, Mahesh Babu. "AMI Data for Decision Makers and the Use of Data Analytics Approach." Asia Pacific Journal of Energy and Environment 4, no. 2 (2017): 65–70. http://dx.doi.org/10.18034/apjee.v4i2.623.

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The Advanced Metering Infrastructure (AMI) analytics provide a source of real-time information not only about energy usage, but also as an indicator of various social, demographic, and economic phenomena inside a city, according to the National Electricity Information Administration. As a tool for leveraging the potential of AMI data within the applications in a Smart City, this article proposes a Data Analytics/Big Data framework applied to AMI data as presented in this study. The framework is comprised of three main components. First and foremost, the architectural perspective sets AMI withi

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7

Guerrero-Prado, Jenniffer S., Wilfredo Alfonso-Morales, and Eduardo F. Caicedo-Bravo. "A Data Analytics/Big Data Framework for Advanced Metering Infrastructure Data." Sensors 21, no. 16 (2021): 5650. http://dx.doi.org/10.3390/s21165650.

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The Advanced Metering Infrastructure (AMI) data represent a source of information in real time not only about electricity consumption but also as an indicator of other social, demographic, and economic dynamics within a city. This paper presents a Data Analytics/Big Data framework applied to AMI data as a tool to leverage the potential of this data within the applications in a Smart City. The framework includes three fundamental aspects. First, the architectural view places AMI within the Smart Grids Architecture Model-SGAM. Second, the methodological view describes the transformation of raw d

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8

Yang Tang. "Design and Pricing Analysis of Electricity Retail Package System Based on Single Pendulum Equation." Journal of Electrical Systems 20, no. 5s (2024): 2395–402. http://dx.doi.org/10.52783/jes.2672.

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The electricity retail industry is becoming increasingly competitive, and retailers are looking for innovative ways to attract and retain customers. One potential strategy is to offer retail packages that include electricity pricing based on the single pendulum equation (SPE). This article discusses the design of a retail package system for electricity retailers based on the SPE. The system utilizes real-time data on electricity supply and demand to create a dynamic pricing system that adjusts prices based on changes in the market. This article present the single pendulum equation model and da

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9

Dr.A.Shaji, George. "Democratizing Compute Power: The Rise of Computation as a Commodity and its Impacts." Partners Universal Innovative Research Publication (PUIRP) 02, no. 03 (2024): 57–74. https://doi.org/10.5281/zenodo.11654354.

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This paper investigates the emerging concept of Compute as a Commodity (CaaC), which promises to revolutionize business innovation by providing easy access to vast compute resources, unlocked by cloud computing. CaaC aims to treat compute like electricity or water - conveniently available for consumption on demand. The pay-as-you-go cloud model enables click-button provisioning of processing capacity, without major capital investments. Our research defines CaaC, its objectives of ubiquitous, low-cost compute, and its self-service consumption vision. We analyze the CaaC technical model, which c

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10

He, Yongxiu, Meiyan Wang, Jinxiong Yu, Qing He, Huijun Sun, and Fengyu Su. "Research on the Hybrid Recommendation Method of Retail Electricity Price Package Based on Power User Characteristics and Multi-Attribute Utility in China." Energies 13, no. 11 (2020): 2693. http://dx.doi.org/10.3390/en13112693.

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With the deregulation of the retail electricity market and the increase of the types of electricity price packages, electricity retail companies provide the recommended service of price packages for users, so as to improve the market competitiveness and user stickiness of enterprises. The existing research does not fully consider the impact of user characteristics and package attributes on recommendation results. This paper proposes a hybrid recommendation method of retail electricity price package based on the characteristics of power users and the multi-attribute utility of price package. Fi

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11

He, Yongxiu, Meiyan Wang, and Fengtao Guang. "Applicability Evaluation of China’s Retail Electricity Price Package Combining Data Envelopment Analysis and a Cloud Model." Energies 13, no. 1 (2019): 6. http://dx.doi.org/10.3390/en13010006.

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With the reform of the power system, the retail electricity market in China has gradually been liberalized. The mechanism of freely selling electricity have been set up. To grab market share and increase profits, electricity retail companies have introduced a series of retail electricity price packages. To evaluate the applicability of these retail electricity price packages, an adaptive evaluation index system that takes into account the interests of both the power company and the users is first established. Furthermore, an integrated evaluation model that combines data envelopment analysis (

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12

Xie, Xinyi, Liming Ying, and Xue Cui. "Price Strategy Analysis of Electricity Retailers Based on Evolutionary Game on Complex Networks." Sustainability 14, no. 15 (2022): 9487. http://dx.doi.org/10.3390/su14159487.

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This paper analyzes the price strategy of electricity retailers in different trading scenarios. In our empirical work, we use the evolutionary game model based on the complex network to describe the information interaction relationship and game relationship between electricity retailers, and reflect the user’s switching behavior through the market share function. The purpose of our work is to study the impact of network structure, contract transaction, user’s switching behavior and strategy updating rules on the price strategy of electricity retailers by applying the evolutionary game model on

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13

Yin, Shuo, Xing Chen, Shiqian Wang, et al. "Research on Electricity Retail Market Design Considering Renewable Energy Storage Resources." BCP Business & Management 15 (December 30, 2021): 355–60. http://dx.doi.org/10.54691/bcpbm.v15i.295.

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This research focus on electricity retail market design considering renewable energy storage resources under the background of the National Development and Reform Commission issuing the policy on establishing and improving the consumption and consumption guarantee of renewable energy power. Renewable energy storage resources are the key consideration in the design of current market mechanism problems. This research shows the investment and construction costs of renewable energy storage resources based on the analysis of the electricity retail market. The research results provide practical refe

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14

Ageev, Aleksandr I., Vladimir N. Podoprigora, and Aleksey A. Kuzmin. "Digital Transformation of Retail Electricity Market: Problems and Challenges." Economic Strategies 144, no. 3 (2021): 32–39. http://dx.doi.org/10.33917/es-3.177.2021.32-39.

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The article provides an overview of the world experience of digitalization of the electric power industry, examines the prerequisites for the development of the digital retail electricity market in the Russian Federation, highlights the main technical, organizational and regulatory issues and problems of transition to the digital retail electricity market

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15

Yan, Qingyou, Chao Qin, Mingjian Nie, and Le Yang. "Forecasting the Electricity Demand and Market Shares in Retail Electricity Market Based on System Dynamics and Markov Chain." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/4671850.

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Due to the deregulation of retail electricity market, consumers can choose retail electric suppliers freely, and market entities are facing fierce competition because of the increasing number of new entrants. Under these circumstances, forecasting the changes in all market entities, when market share stabilized, is important for suppliers making marketing decisions. In this paper, a market share forecasting model was established based on Markov chain, and a system dynamics model was constructed to forecast the electricity consumption based on the analysis of five factors which are economic dev

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16

Liu, Qian, and Debin Fang. "Deceptive greenwashing by retail electricity providers under renewable portfolio standards: The impact of market transparency." Energy Policy 202 (July 2025): 114591. https://doi.org/10.1016/j.enpol.2025.114591.

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17

Moti, Md Mahraj Murshalin Al, Rafsan Shartaj Uddin, Md Abdul Hai, et al. "Blockchain Based Smart-Grid Stackelberg Model for Electricity Trading and Price Forecasting Using Reinforcement Learning." Applied Sciences 12, no. 10 (2022): 5144. http://dx.doi.org/10.3390/app12105144.

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A smart grid is an intelligent electricity network that allows efficient electricity distribution from the source to consumers through telecommunication technology. The legacy smart grid follows the centralized oligopoly marketplace for electricity trading. This research proposes a blockchain-based electricity marketplace for the smart grid environment to introduce a decentralized ledger in the electricity market for enabling trust and traceability among the stakeholders. The electricity prices in the smart grid are dynamic in nature. Therefore, price forecasting in smart grids has paramount i

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18

Aghaei, Jamshid, Mansour Charwand, Mohsen Gitizadeh, and Alireza Heidari. "Robust Risk Management of Retail Energy Service Providers in Midterm Electricity Energy Markets under Unstructured Uncertainty." Journal of Energy Engineering 143, no. 5 (2017): 04017030. http://dx.doi.org/10.1061/(asce)ey.1943-7897.0000462.

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19

Han, Jiamu. "The New Retail Mode of Superstores in the Internet Environment." BCP Business & Management 23 (August 4, 2022): 655–60. http://dx.doi.org/10.54691/bcpbm.v23i.1418.

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With the development of the Internet, the new electricity industry rapid rise retail industry is breaking through the traditional model, trying to offline real economy combined with online sales channels, and rely on the virtual store for operating singly traditional electricity due to the lack of communication channels, in the face of a lack of traffic, its system problems such as difficult to adapt to market demand. In the context of new retail, this paper summarizes the changes made by several influential retailers in the current industry to cope with the development of the Internet by refe

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20

Golovschikov, Vladimir, and Valeriy Haydukov. "ANALYSIS OF FUNCTIONING AND DEVELOPMENT OF WHOLESALE AND RETAIL MARKETS OF ELECTRIC ENERGY OF FOREIGN COUNTRIES." Bulletin of the Angarsk State Technical University 1, no. 14 (2020): 16–21. http://dx.doi.org/10.36629/2686-777x-2020-1-14-16-21.

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The article provides an analysis of various structures and features of the electricity and power markets. Examples of the functioning of these markets in a number of foreign countries are consid-ered. The features of the wholesale and retail electricity markets in Russia and their comparison with foreign markets are given.

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21

Murphy, Sean, and Natalie Mims Frick. "Estimating the Drivers of the Cost of Saved Electricity in Utility Customer-Funded Energy Efficiency Programs." Energies 16, no. 5 (2023): 2177. http://dx.doi.org/10.3390/en16052177.

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Energy efficiency programs funded by utility customers provide an electricity resource in most U.S. states, but their scale and cost of saving electricity varies significantly by state. In this paper, we explore the drivers of the cost of saved electricity in these programs with an econometric model and nearly a decade of data reported by efficiency program administrators. We found strong evidence for economies of scale and weak evidence for diseconomies of scale, which suggests that states with low levels of efficiency savings relative to retail sales can increase the size of their efficiency

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22

Aizenberg, Natalia, and Nikolai Voropai. "The Optimal Mechanism Design of Retail Prices in the Electricity Market for Several Types of Consumers." Mathematics 9, no. 10 (2021): 1147. http://dx.doi.org/10.3390/math9101147.

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In this paper, we discuss the demand side management (DSM) problem: how to incentivize a consumer to equalize the load during the day through price-dependent demand. Traditionally, the retail market offers several electricity payment schemes. A scheme is effective when the different tariffs satisfy different consumers. At the same time, the existing and generally accepted retail pricing schemes can lead to an "adverse selection" problem when all consumers choose the same price, thereby, reducing the possible general welfare. We propose an optimal design of pricing mechanisms, taking into accou

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23

Li, Jingwen, and Yiting Ouyang. "Fresh electricity business cold chain logistics development and countermeasures research." International Journal of Global Economics and Management 2, no. 3 (2024): 130–36. http://dx.doi.org/10.62051/ijgem.v2n3.13.

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Under the background of new retail, fresh electricity business as a rising star of electricity business is developing rapidly, how to improve the service quality of fresh cold chain logistics, transportation efficiency, and further improve the market competitiveness of fresh cold chain logistics industry has gradually become the focus of attention. This paper expounds the necessity of the development of fresh electricity logistics, analyzes the main problems in the development of fresh cold chain logistics, the current fresh electricity cold chain logistics development strategy, how to promote

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24

Fotouhi Ghazvini, Mohammad Ali, Pedro Faria, Sergio Ramos, Hugo Morais, and Zita Vale. "Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market." Energy 82 (March 2015): 786–99. http://dx.doi.org/10.1016/j.energy.2015.01.090.

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25

Yaschenko, Aleksandr. "Formalization of the Electricity Pricing Mechanism for Other Consumers of the Retail Market." Bulletin of Kemerovo State University. Series: Political, Sociological and Economic sciences 2022, no. 1 (2022): 125–32. http://dx.doi.org/10.21603/2500-3372-2022-7-1-125-132.

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This article deals with a complex and rather unique problem of pricing in the wholesale and retail electricity and capacity markets. The interaction of the electric power industry with the economy resulted in a market conglomerate of planned economy and liberal distribution. The reformers tried to avoid monopoly, which allegedly hindered the market development. The entire post-reform practice proves that private investments are ineffective, prices and tariffs for electricity and capacity keep growing, and energy companies are registered as closed joint-stock companies, which decreases their in

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26

Lezhniuk, Petro, Oleksandr Burykin, Volodymyr Kulyk, Juliya Malogulko, Andriy Polishchuk, and Artur Sytnyk. "Devising a method for estimating the share of electricity consumption by a given consumer, which is provided from renewable energy sources." Eastern-European Journal of Enterprise Technologies 5, no. 8(119) (2022): 21–30. http://dx.doi.org/10.15587/1729-4061.2022.265749.

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One of the tools to confirm the origin of electricity sold in the retail market are the so-called Guarantees of Origin. They are the basis for calculating greenhouse gas emissions and reporting on carbon emissions and are the most sought-after by European enterprises. The object of this study is the mechanism of labeling guarantees of the origin of electricity in electrical networks with renewable energy sources, taking into consideration their location and schemes of connection to the power grids. Existing solutions for electricity labeling based on the certificates of Guarantees of Origin ha

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27

Petro, Lezhniuk, Burykin Oleksandr, Kulyk Volodymyr, Malogulko Juliya, Polishchuk Andriy, and Sytnyk Artur. "Devising a method for estimating the share of electricity consumption by a given consumer, which is provided from renewable energy sources." Eastern-European Journal of Enterprise Technologies 5, no. 8(119) (2022): 21–30. https://doi.org/10.15587/1729-4061.2022.265749.

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Анотація:

One of the tools to confirm the origin of electricity sold in the retail market are the so-called Guarantees of Origin. They are the basis for calculating greenhouse gas emissions and reporting on carbon emissions and are the most sought-after by European enterprises. The object of this study is the mechanism of labeling guarantees of the origin of electricity in electrical networks with renewable energy sources, taking into consideration their location and schemes of connection to the power grids. Existing solutions for electricity labeling based on the certificates of Guarantees of Origin ha

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28

Mo, Pingyan, Kai Li, Yongjiao Yang, You Wen, and Jinwen Xi. "A Blockchain-Based Lightweight Reputation-Aware Electricity Trading Service Recommendation System." Electronics 14, no. 13 (2025): 2640. https://doi.org/10.3390/electronics14132640.

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With the continuous expansion of users, businesses, and services in electricity retail trading systems, the demand for personalized recommendations has grown significantly. To address the issue of reduced recommendation accuracy caused by insufficient data in standalone recommendation systems, the academic community has conducted in-depth research on distributed recommendation systems. However, this collaborative recommendation environment faces two critical challenges: first, how to effectively protect the privacy of data providers and power users during the recommendation process; second, ho

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29

Wang, Haibing, Chengmin Wang, Weiqing Sun, and Muhammad Qasim Khan. "Energy Pricing and Management for the Integrated Energy Service Provider: A Stochastic Stackelberg Game Approach." Energies 15, no. 19 (2022): 7326. http://dx.doi.org/10.3390/en15197326.

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As a retailer between the energy suppliers and end users, the integrated energy service provider (IESP) can effectively coordinate the energy supply end and the energy use end by setting energy prices and energy management. Because most of the current research focuses on the pricing of electricity retailers, there are few studies on IESP energy pricing and management, which are still at the initial stage. At the same time, the existing research often does not consider the impact of demand response (DR) and uncertainties, such as natural gas and electricity wholesale prices, on the pricing of I

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30

Separi, ّFaramarz, Abdolreza Sheikholeslami, and Taghi Barforoshi. "Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers." Journal of Iranian Association of Electrical and Electronics Engineers 17, no. 4 (2020): 1–10. http://dx.doi.org/10.29252/jiaeee.17.4.1.

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31

Separi, ّFaramarz, Abdolreza Sheikholeslami, and Taghi Barforoshi. "Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers." Journal of Iranian Association of Electrical and Electronics Engineers 17, no. 4 (2020): 1–10. http://dx.doi.org/10.29252/jiaeee.17.4.1.

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32

Dormady, Noah, Zhongnan Jiang, and Matthew Hoyt. "Do markets make good commissioners?: A quasi-experimental analysis of retail electric restructuring in Ohio." Journal of Public Policy 39, no. 3 (2018): 483–515. http://dx.doi.org/10.1017/s0143814x18000168.

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AbstractEmpirical support for the purported benefits of retail electric deregulation is mixed at best. Prior studies that identify states as simply “retail deregulated” overlook complex policy environments in which deregulation is implemented by regulators with a high degree of discretion. Prior studies also rely on Energy Information Administration data that do not account for core regulatory interventions that can take place during the process of implementing deregulation. Using robust time series household final bill survey data from the Public Utilities Commission of Ohio, this article pro

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33

Yao, Ching-Bang, and Chang-Yi Kao. "Enhancing Energy Efficiency in Retail within Smart Cities through Demand-Side Management Models." Applied Sciences 13, no. 24 (2023): 13040. http://dx.doi.org/10.3390/app132413040.

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Анотація:

The energy discourse is multifaceted, encompassing energy creation, storage, and conservation. Beyond the imperative of conserving energy consumption, effective energy management is a critical aspect of achieving overall energy efficiency. Despite being traditionally regarded as low electricity consumers, retailers play a pivotal role in economic activity. While categorized as non-productive energy users, the retail industry operates numerous establishments, facing substantial energy costs that make energy management integral to its operations. Historically, smaller retail stores have lacked a

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34

Linh, Nguyen Tung, and Pham Vu Long. "A Novel Solution Method for the Distribution Network Reconfiguration Problem based on an Objective Function and considering the Cost of Electricity Transmission." Engineering, Technology & Applied Science Research 13, no. 6 (2023): 12366–72. http://dx.doi.org/10.48084/etasr.6568.

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The problem of distribution reconfiguration is an important issue in the optimal operation of distribution networks. Nowadays, with the diverse development of renewable energy sources, the uncertainty of the load becomes more complex, and the need for competitive retail electricity markets is more evident. This paper presents an optimal solution to this problem, utilizing the global advantage of the simulated annealing algorithm, improving the time parameter, and combining it with the rapid mutation ability of the genetic algorithm. Simultaneously, the Zbus, EBE, and PS models were integrated

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35

Lavillotti, Michael, and Amrita Pulidindi. "How to Refine Electric Utility Compensation for Increasing DER Market Participation." Climate and Energy 40, no. 11 (2024): 17–21. http://dx.doi.org/10.1002/gas.22405.

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As the energy sector embraces the core principles of sustainability, North America's electricity markets are experiencing a paradigm shift. The proliferation and acceptance of distributed energy resources (DERs) have fundamentally altered the dynamics of electricity generation and distribution, and how we leverage energy storage and demand response.1 This is especially true for all utility types and DER owners/representatives, on the distribution system. While many consumers with DERs have successfully navigated the wholesale and retail energy markets, many challenges still exist with traditio

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36

Wijeweera, Albert, Clevo Wilson, Wasantha Athukorala, Darshana Rajapaksa, and Shunsuke Managi. "Demand for Electricity and its Determinants in Australia: Policy Implications." Journal of Developing Areas 59, no. 1 (2025): 115–28. https://doi.org/10.1353/jda.2025.a952656.

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ABSTRACT: The electricity industry has emerged as a crucial driver of the Australian economy, undergoing significant transformations shaped by industry reforms initiated in the early 1990s. These reforms include the introduction of full retail contestability in the electricity markets to stimulate competition by encouraging new market entrants in the retail sector. This paper investigates the response of residential electricity consumers to these reforms by estimating residential electricity demand as a function of consumer income, electricity price index, gas price index, and two temperature

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Zhang, Zhichao, Xue Li, Yanling Zhao, Zhaogong Zhang, and Bin Li. "Prediction Accuracy of Stackelberg Game Model of Electricity Price in Smart Grid Power Market Environment." Energies 18, no. 3 (2025): 501. https://doi.org/10.3390/en18030501.

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With the deepening of power market reform and the increasingly fierce competition in the power market, the accurate prediction of electricity price has become an important demand for power market participants to make scientific decisions, optimize resource allocation, and reduce risks. Electricity price forecast can provide a key reference for the power market, help market participants make wise decisions, promote competition and efficient operation and cope with complex market fluctuations, provide a scientific basis for various entities to optimize resource allocation, reduce risks and impro

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Blinov, I. V., Ye V. Parus, P. V. Shymaniuk, and A. O. Vorushylo. "OPTIMIZATION MODEL OF MICROGRID FUNCTIONING WITH SOLAR POWER PLANT AND ENERGY STORAGE SYSTEM." Tekhnichna Elektrodynamika 2024, no. 5 (2024): 69–78. http://dx.doi.org/10.15407/techned2024.05.069.

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The article provides a description of the microgrid function optimization model for solving the problem of reducing the cost of electricity purchases by the owner of such a microgrid on the retail electricity market. The objective function of minimizing the cost of electricity purchase has been formalized. Approaches to determining the coefficients of penalty functions designed to cut off technically unacceptable modes of the microgrid have been determined. A mathematical model of an energy storage system (ESS) is proposed, in which the functions of calculating the technological costs of elect

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39

Ketter, Wolfgang, Markus Peters, and John Collins. "Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 1298–304. http://dx.doi.org/10.1609/aaai.v27i1.8479.

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Sustainable energy systems of the future will need more than efficient, clean, and low-cost energy sources. They will also need efficient price signals that motivate sustainable energy consumption behaviors and a tight real-time alignment of energy demand with supply from renewable and traditional sources. The Power Trading Agent Competition (Power TAC) is a rich, competitive, open-source simulation platform for future retail power markets built on real-world data and state-of-the-art customer models. Its purpose is to help researchers understand the dynamics of customer and retailer decision-

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Chantrel, Stefan P. M., Arne Surmann, Thomas Erge, and Jessica Thomsen. "Participative Renewable Energy Community—How Blockchain-Based Governance Enables a German Interpretation of RED II." Electricity 2, no. 4 (2021): 471–86. http://dx.doi.org/10.3390/electricity2040028.

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Distributed solar photovoltaic generation is less expensive than the retail price of electricity from the grid in most parts of Europe. Growing shares of variable generation place a focus on Renewable Energy Communities (REC) to increase the economic benefits of local energy systems. Civil society could play an influential and necessary role in the development of such communities, the expansion of renewable energy capacity and the provision of flexibility. However, current RECs models still confine tenants to their role as non-participating consumers. This article provides a concept to enable

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Chen, Wei, Haomin Wang, and Jingbin He. "Research on electricity supply chain strategy coordination considering peak-valley pricing policy and service quality investment." RAIRO - Operations Research 56, no. 2 (2022): 583–99. http://dx.doi.org/10.1051/ro/2022020.

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An electricity supply chain game model composed of electricity generation enterprise and electricity retailer enterprise is constructed to evaluate the impact of service quality and peak-valley pricing on electricity supply chain coordination mechanism. Decisions on electricity service quality and peak-valley pricing are studied. Following this, the contract coordination under the electricity supply chain is discussed. Based on the game framework, the main research results are as follows. First, the centralized system provides a lower peak-valley price and higher electricity service quality, e

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Guo, Sen, Wenyue Zhang, and Xiao Gao. "Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method." Sustainability 12, no. 5 (2020): 2040. http://dx.doi.org/10.3390/su12052040.

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Electricity retail marketization reform is in progress in China, and many electricity retail companies (ERC) have been founded. The comprehensive evaluation of business risk for ERC can help effectively manage business risk and reduce risk loss, which is vital for its healthy and sustainable development. In this paper, a new hybrid multi-criteria decision making (MCDM) method integrating the Bayesian best-worst method (BBWM) and improved matter-element extension model (IMEEM) is proposed for business risk evaluation for an ERC. The latest group MCDM method, namely the BBWM is employed to deter

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Krishnan, Ram, Amber Haselhuhn, and Joshua M. Pearce. "Technical Solar Photovoltaic Potential of Scaled Parking Lot Canopies: A Case Study of Walmart U.S.A." Journal on Innovation and Sustainability. RISUS ISSN 2179-3565 8, no. 2 (2017): 104. http://dx.doi.org/10.24212/2179-3565.2017v8i2p104-125.

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Solar photovoltaic (PV) technology can provide sustainable power for the growing global population in cities, but it demands considerable land area. This is a challenge for densely populated cities. However, the stranded assets of non-productive parking lots areas can be converted to solar farms with PV canopies, enabling sustainable electricity generation while preserving their function to park automobiles. This study provides a method for determining the technical and economic potential for converting a national scale retail company’s parking lot area to a solar farm. First, the parking lot

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Flore, Dranoel. "IoT-based Conversational Solar Vending Machine." International Journal of Informatics and Applied Mathematics 8, no. 1 (2025): 51–64. https://doi.org/10.53508/ijiam.1647096.

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Abstract. In vending machine retail settings, there are major challenges it encounters: lack of real-time monitoring capabilities, continuous electricity consumption, and a lack of human interaction. To address this, the researchers developed an IoT-based vending machine with solar panels and conversational AI assistance that allows real-time monitoring of stocks of the vending machine that allows the operator to manage the vending machine online and even gets notified once a certain product is almost out of stock, solar panels and voice recognition command are also implemented. By implementin

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Dou, Xun, Jiazhe Zhou, Yanbo Ding, et al. "Retailing Strategies for Power Retailers with a Generator Background Considering Energy Conservation Services under the Internet of Things." Sensors 22, no. 17 (2022): 6612. http://dx.doi.org/10.3390/s22176612.

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Facing the electricity market environment, in which the traditional power grid is transformed into a smart grid, power retailers with a generator background are designing new business models of cold-heat-electricity multi-energy supply based on the Internet of Things data collection, interconnection, computing and other technical supports. On the other hand, through internet of things real-time monitoring technology, the necessity of setting up energy security for power retailers is explored to enhance the control’s ability to deal with the risks of electricity sales. Firstly, based on interne

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Halkos, George E., and Apostolos S. Tsirivis. "Sustainable Development of the European Electricity Sector: Investigating the Impact of Electricity Price, Market Liberalization and Energy Taxation on RES Deployment." Energies 16, no. 14 (2023): 5567. http://dx.doi.org/10.3390/en16145567.

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Replacing conventional CO2 intensive generation with green electricity from RES constitutes an essential prerequisite of sustainable development. Renewables play a vital role in achieving the UN’s goals for clean low-cost energy production and the reverse of climate change process. Based on a comprehensive dataset including observations for 17 European countries between 2003 and 2020, the present research attempts to unveil the fundamental determinants of RES deployment. A panel FMOLS approach was utilized to provide a detailed analysis of the impact of electricity prices, energy taxes and com

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Tao, Biao, Gangcheng Cao, and Tianxu Sun. "Direct Sourcing from Renewable Energy under Cost Uncertainty: A Bargaining Approach." International Transactions on Electrical Energy Systems 2022 (April 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/3588929.

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Sourcing electricity from renewable energy suppliers becomes critical to improving renewable energy penetration. However, the common problem of bilateral bargaining between an electricity retailer and renewable energy supplier has rarely been studied in the literature. Considering the uncertainty of renewable generation cost, we introduce the incentive contract theory and signalling game to examine how the electricity procurement contract is designed in a Rubinstein bargaining framework. We derive the corresponding equilibrium outcomes depending on the renewable supplier’s generation cost unce

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Sridhar, Kaushik. "An incumbent vs. a new entrant: a Porter's five forces tale of a powerful electricity provider vs. a green energy retailer." International Journal of Sustainable Strategic Management 2, no. 2 (2010): 138. http://dx.doi.org/10.1504/ijssm.2010.032557.

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Tang, Bowen, Yuanzhang Sun, Nan Zhou, and Bo Shen. "Sustainable Development of Power Retailers and Industrial Parks in China’s Belt and Road Initiative." Sustainability 11, no. 19 (2019): 5427. http://dx.doi.org/10.3390/su11195427.

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Energy infrastructure construction is a top priority and focus for the Belt and Road Initiative (BRI), and this drives dramatical demand for significant energy consumption growth and investment funds in BRI countries. In response, the concept of a regional power grid of an industrial park (RPGIP) has emerged as a new energy infrastructure, where the industrial power supply, load, and grid are integrated to form a balanced and independent regional power grid. Moreover, dramatically increased market competition on the retail side of the electricity market challenges developing countries striving

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Vasilyev, M. Yu. "Generation Structure, Prices, and Tariffs in the Russian Electric Power Industry in 2009-2018." Energy Systems Research, no. 2(14) (July 23, 2021): 21–26. http://dx.doi.org/10.38028/esr.2021.02.0002.

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The paper aims to summarize and analyze the statistical data on the generation structure and price behavior in the Russian electric power industry and, based on the analysis, make a statistical contribution to the discussion on the outcomes of the electricity reform in Russia. A brief review of this topic is provided. The study states that the electric power industry should be regarded as a combination of four sub-industries when regulation, market design, and industrial organization problems are discussed. These four sub-industries are generation, transmission, distribution, and sales because

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