Results 31 to 40 of about 123,453 (263)
Real-Time Pricing-Enabled Demand Response Using Long Short-Time Memory Deep Learning
Energies, 2023 Sustainable energy development requires environment-friendly energy-generating methods. Pricing system constraints influence the efficient use of energy resources. Real-Time Pricing (RTP) is theoretically superior to previous pricing systems for allowing
Aftab Ahmed Almani, Xueshan Han
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Energies, 2020 Due to the heterogeneity of demand response behaviors among customers, selecting a suitable segment is one of the key factors for the efficient and stable operation of the demand response (DR) program.
Eunjung Lee, Jinho Kim, Dongsik Jang
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Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning
Energies, 2023 Eco-friendly technologies for sustainable energy development require the efficient utilization of energy resources. Real-time pricing (RTP), also known as dynamic pricing, offers advantages over other pricing systems by enabling demand response (DR ...
Ahmed Ismail, Mustafa Baysal
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Optimal Participation of DR Aggregators in Day-Ahead Energy and Demand Response Exchange Markets [PDF]
, 2014 Aggregating the Demand Response (DR) is approved as an effective solution to improve the participation of consumers to wholesale electricity markets. DR aggregator can negotiate the amount of collected DR of their customers with transmission system operator, distributors, and retailers in Demand Response eXchange (DRX) market, in addition to ...
Ehsan Heydarian-Forushani +3 more
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Reliability Evaluation Method Considering Demand Response (DR) of Household Electrical Equipment in Distribution Networks [PDF]
Processes, 2019 The load characteristic of typical household electrical equipment is elaborately analyzed. Considering the electric vehicles’ (EVs’) charging behavior and air conditioning’s thermodynamic property, an electricity price-based demand response (DR) model and an incentive-based DR model for two kinds of typical high-power electrical equipment are proposed ...
Chen, Hongzhong +5 more
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Demand Response: Moving beyond the Technical and Physical Context of Buildings
Proceedings, 2019 This paper discussed the demonstration experiences from an EU funded H2020 project called “Demand Response in Blocks of Buildings” (DR-BOB).
Sylvia Breukers, Tracey Crosbie
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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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Global Journal of Researches in Engineering, 2018 Demand response (DR) is one of the major stakeholders in the smart grid and has been used as an energy reconciler between supply and demand. After a literature overview, the importance of the paper is enhanced by having a theoretical and behavioral-based analysis of DR in power systems.
Muhammad Hussain, Yan Gao, Zhihong Xu
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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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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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