Instances for "Optimal Allocation of Demand Response Considering Transmission System Congestion"
, 2022 Electricity demand response (DR) is the capability of the electricity consumers to adjust their consumption according to the needs of the grid. Demand response is especially important as a means to mitigate the variability in renewable generation.
Gendreau, Michel +2 more
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Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies
Buildings, 2023 Power grids in the 21st century face unprecedented challenges, including the urgent need to combat pollution, mitigate climate change, manage dwindling fossil fuel reserves, integrate renewable energy sources, and meet greater energy demand due to higher
Ruzica Jurjevic, Tea Zakula
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Dr. METRO: a demand-responsive metro-train operation planning program [PDF]
WIT Transactions on The Built Environment, 2014 This paper introduces Dr.METRO, which is a demand responsive metro-train operation planning program. It involves several key functions for metrotrain operation planning such as the data handling of passenger traffic, demand forecasting, train scheduling and the sequencing of a train-set operation.
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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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, 2022 As the rise in electricity rises, it creates a need for more flexibility on the power grid. Utility companies have begun to give more attention to Demand Response (DR) programs. These programs are essential in assisting with the growing demand for energy
Stotts, Austin
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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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Reinforcement Learning-Based Pricing and Incentive Strategy for Demand Response in Smart Grids
Energies, 2023 International agreements support the modernization of electricity networks and renewable energy resources (RES). However, these RES affect market prices due to resource variability (e.g., solar).
Eduardo J. Salazar +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
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Price, environment and security: Exploring multi-modal motivation in voluntary residential peak demand response [PDF]
, 2011 Peak demand on electricity grids is a growing problem that increases costs and risks to supply security. Residential sector loads often contribute significantly to seasonal and daily peak demand.
Samuel Gyamfi +5 more
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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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