Results 41 to 50 of about 123,453 (263)
A survey of demand response adoption in retail stores DR control preferences, stakeholder engagement, and cross-national differences [PDF]
Energy Informatics, 2019 Abstract Retail stores can participate in demand response programs with the possibility of load shifting and building automation systems. Demand response activities in retail stores are influenced by various factors, such as business operations, company goals and policies, etc.
Zheng Ma 0002 +2 more
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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
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
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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
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Environmental Research: Energy, 2023 The California Independent System Operator (CAISO) utilizes a system-wide, voluntary demand response (DR) tool, called the Flex Alert program, designed to reduce energy usage during peak hours, particularly on hot summer afternoons when surges in ...
McKenna Peplinski, Kelly T Sanders
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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
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Increasing the Benefit from Cost-Minimizing Loads via Centralized Adjustments
Energies, 2016 Several demand response (DR) strategies rely on real-time pricing and selfish local optimization, which may not result in optimal electricity consumption patterns from the viewpoint of an energy supplier or a power system.
Antti Alahäivälä, Matti Lehtonen
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Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode
Energies, 2020 Demand response (DR) can offer a wide range of advantages for electrical systems by facilitating the interaction and balance between supply and demand. However, DR always requires a central agent, giving rise to issues of security and trust. Besides this,
Zishan Guo, Zhenya Ji, Qi Wang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source
Short-Term Prediction of Energy Consumption in Demand Response for Blocks of Buildings: DR-BoB Approach [PDF]
Buildings, 2019 Load forecasting plays a major role in determining the prices of the energy supplied to end customers. An accurate prediction is vital for the energy companies, especially when it comes to the baseline calculations that are used to predict the energy load.
openaire +2 more sources