Optimal Demand Response of Smart Home with PV Generators by Chao-Rong Chen, Ming-Jen Lan

“…Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. …”
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Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies by Yin Yao, Yedong Zhu, Dongdong Li, Bo Zhou, Shunfu Lin

“…Therefore, an EV demand response strategy considering the influence of multiple factors is proposed in this paper. …”
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Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…In this case, a microgrid is a grid-connected system that combines wind and solar power. Demand response and renewables have a significant impact on how well electricity distribution networks operate. …”
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Enhanced energy management in smart microgrids using hybrid optimization and demand response strategies by Lei Yang, Lile Wu, Genzhu Li

Subjects: “…Demand response plans…”
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A deep reinforcement learning-based approach for cyber resilient demand response optimization by Ayush Sinha, Ranjana Vyas, Feras Alasali, William Holderbaum, O. P. Vyas

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Electrical vehicle grid integration for demand response in distribution networks using reinforcement learning by Fayiz Alfaverh, Mouloud Denaï, Yichuang Sun

“…Abstract Most utilities across the world already have demand response (DR) programs in place to incentivise consumers to reduce or shift their electricity consumption from peak periods to off‐peak hours usually in response to financial incentives. …”
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A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

“…This study proposes a multiobjective mixed integer linear programming (MOMILP) model for a demand-responsive airport shuttle service. The approach aims to assign a set of alternative fuel vehicles (AFVs) located at different depots to visit each demand point within the specified time and transport all of them to the airport. …”
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Technoeconomic Conservation Voltage Reduction–Based Demand Response Approach to Control Distributed Power Networks by Shahram Pourfarzin, Tahere Daemi, Hamidreza Akbari

“…Emphasizing a pioneering technoeconomic conservation voltage reduction–based demand response approach, the study integrates conservation voltage reduction as a controllable demand response method within distributed power networks, highlighting the developed droop control method for effective regulation. …”
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A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response by Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong

“…As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response (DR) not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. …”
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Research on two‐level energy management based on tiered demand response and energy storage systems by Danhao Wang, Daogang Peng, Dongmei Huang, Lan Ren

“…This study addresses the complexity of the power load dispatch system by analysing the characteristics and interrelations of large‐scale user load demand responses. A dual‐layer energy management model was constructed, and a demand response incentive mechanism was designed. …”
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Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach by Wen-Ting Lin, Guo Chen, Jueyou Li, Yan Lei, Wanli Zhang, Degang Yang, Tingzhen Ming

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Research on master-slave game theory-based demand response strategies for renewable energy integration by Wei Hu, Yining Li, Puliang Du, Jiyu Li

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Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids by Xidong Zheng, Feifei Bai, Tao Jin

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Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response by Yuanxiang Luo, Haixin Hao, Lidong Fan

“…Abstract To reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. …”
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Optimal Solar‐Biomass‐Diesel‐Generator Hybrid Energy for Water Pumping System Considering Demand Response by Olumuyiwa Taiwo Amusan, Nnamdi Ikechi Nwulu, Saheed Lekan Gbadamosi

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Multiobjective Day-Ahead Scheduling of Reconfigurable-Based Microgrids Through Electric Vehicles and Demand Response Integration by Ali Mirzaei, Navid Taghizadegan Kalantari, Sajad Najafi Ravadanegh

“…In this regard, integrated plug-in electric vehicles and demand response programs are used to smooth distribution locational marginal pricing. …”
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RETRACTED: Modelling demand response in smart microgrid with techno and economic objective functions and improvement of network efficiency by Wang Xuan, Zhang Xiaofeng, Zhou Feng, Xu Xiang, Allathadka H.P.

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Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster by Peng Gao, Zhuofu Deng, Xianglong Qi, Guofeng Yao, Xin Wang, Yang Gao

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Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

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Economic, Technical, and Environmental Benefits of Occupants’ Thermal Comfort-Based Heat Loads Participation in Demand Response Program by Mohammadmehdi Sedaghatzadeh, Mohsen Gitizadeh, Matti Lehtonen

“…Heat pumps (HPs), as the most prevalent loads, can be managed by demand response programs (DRPs) to postpone the costly reconfiguration of distribution systems. …”
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