Results 51 to 60 of about 1,525,022 (327)
A reinforcement learning-based demand response strategy designed from the Aggregator’s perspective
Frontiers in Energy Research, 2022 The demand response (DR) program is a promising way to increase the ability to balance both supply and demand, optimizing the economic efficiency of the overall system. This study focuses on the DR participation strategy in terms of aggregators who offer
Seongmun Oh +4 more
doaj +1 more source
Optimal bidding strategy for demand response aggregator in day-ahead markets via stochastic programming and robust optimization [PDF]
, 2015 This paper evaluates the optimal bidding strategy for demand response (DR) aggregator in day-ahead (DA) markets. Because of constraint of minimum power quantity requirement, small-sized customers have to become indirect participants of electricity ...
Wei, M, Zhong, J
core +1 more source
IEEE Access, 2023 Demand response (DR) shaves peak energy consumption and drives energy conservation to ensure reliable operation of power grid. With the emergence of the smart power grid (SPG), DR has become increasingly popular and highly contributes to energy ...
Ahmad Alzahrani +8 more
semanticscholar +1 more source
Energies, 2018 It has been four years since the introduction of the Demand Response (DR) market in Korea. Although the DR market has been steadily increasing resource capacity and payments for demand resources, it cannot efficiently utilize DR resources under the ...
Seungmi Lee, Jinho Kim
doaj +1 more source
IEEE Transactions on Smart Grid, 2023 A distributed data center cluster (DDCC) consists of data centers that are geographically dispersed while managed by the same company. A DDCC is composed of several data centers in different regions, so it purchases electricity from several electricity ...
Peng Zhang +5 more
semanticscholar +1 more source
Demand Response Strategy of Energy Prosumer Based on Robust Optimization Through Aggregator
IEEE Access, 2020 In this article, the optimal operation strategy for the aggregator to participate in demand response (DR) market is proposed. First, on the day before the occurrence of DR, Customer Baseline Load (CBL)-based load forecasting is performed using historical
Minsu Park, Jihoan Lee, Dong-Jun Won
doaj +1 more source
Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties
, 2017 Demand response (DR) is a cost-effective and environmentally friendly approach for mitigating the uncertainties in renewable energy integration by taking advantage of the flexibility of customers' demands. However, existing DR programs suffer from either
Comden, Joshua, Liu, Zhenhua, Zhao, Yue
core +1 more source
Energy use in residential buildings: Impact of building automation control systems on energy performance and flexibility [PDF]
, 2019 This work shows the results of a research activity aimed at characterizing the energy habits of Italian residential users. In detail, by the energy simulation of a buildings sample, the opportunity to implement a demand/response program (DR) has been ...
DE SANTOLI, Livio +2 more
core +1 more source
Demand-Response Control in Smart Grids
Applied Sciences, 2023 In the smart grid, electricity price is a key element for all participants in the electric power industry. To meet the smart grid’s various goals, Demand-Response (DR) control aims to change the electricity consumption behavior of consumers based on ...
Atef Gharbi, M. Ayari, A. E. Yahya
semanticscholar +1 more source
Journal of Modern Power Systems and Clean Energy, 2022 In response to the imbalance between power generation and demand, demand response (DR) projects are vigorously promoted. However, customers' DR behaviors are still difficult to be simulated accurately and objectively.
Junhao Lin, Yan Zhang, Shuangdie Xu
doaj +1 more source