Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
Energy and AI, 2021 Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy ...
Ioannis Antonopoulos +3 more
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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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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 in buildings: Unlocking energy flexibility through district-level electro-thermal simulation [PDF]
, 2022 European Union households account for 26% of the final energy consumption, yet their participation in demand response (DR) schemes is virtually non-existent.
Mourshed, Monjur +5 more
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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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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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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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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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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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Scenario analysis of residential demand response at network peak periods [PDF]
, 2012 Electricity demand response refers to consumer actions that change the utility load profile in a way that reduces costs or improves grid security.
Krumdieck, S. +3 more
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