Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach by Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Adetunji, Mehdi Rasti, Eva Pongracz, Mohammad Sadegh Javadi, João P.S. Catalão

Subjects: “…Demand Response Aggregator…”
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Synchronization and Rebound Effects in Residential Loads by Nora Agah, Eve Tsybina, Viswadeep Lebakula, Justin Hill, Jeff Munk, Helia Zandi

Subjects: “…Demand response…”
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Practice and Exploration of Market-oriented Profit Models for Virtual Power Plants in Shanghai by LI Qing, DONG Yufang, LIU Ziteng, SHI Zhihao, WANG Xiang, FAN Shuai, HE Guangyu

Subjects: “…virtual power plant （vpp）|demand response|spot market|peak shaving market…”
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Flexibility matters: Impact assessment of small and medium enterprises flexibility on the German energy transition by Anas Abuzayed, Mario Liebensteiner, Niklas Hartmann

Subjects: “…Demand response…”
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Trend and evolution in muti-microgrid systems: A bibliometric analysis and literature review by Nishant Thakkar, Deepa Kaliyaperumal, V. Ravikumar Pandi

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Blockchain-driven demand side management in P2P energy markets for islanded microgrid systems by Abdullah Umar, Sumit Kumar Jha, Deepak Kumar, Tirthadip Ghose, Subhransu Ranjan Samantaray

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Day-Ahead and Intraday Economic Optimization Models of the Stackelberg Game Considering Source-Load Uncertainty by Ning Li, Weibo Liu, Xiaodong Wan, Xiu Ren, Haining Yu

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Synergistic Hierarchical Bi-Level Optimization of Demand Response Programs and Smart Inverter Volt/Var Control for Maximizing Hosting Capacity of Power Systems With Renewable-Based Distributed Generators by Zenhom M. Zenhom, Shady H. E. Abdel Aleem, Essam Aboul Zahab, Ziad M. Ali, Abdulaziz Almalaq, Tarek A. Boghdady

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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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Optimal operation of the smart electrical network considering energy management of demand side by Askar Shavan, Saidoune Fatmazohra, Abduvalieva Dilsora, Ezhilarasan G., Thakur Rishabh, Yadav Yashpal, Kumar Raj, Hussen Mohammed, Jawad Israa Abed, Ali A.M.

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Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

Subjects: “…demand response modelling…”
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Intelligent Multi-Agent Based Multilayered Control System for Opportunistic Load Scheduling in Smart Buildings by Muhammad Babar Rasheed, Nadeem Javaid, Muhammad Sheraz Arshad Malik, Muhammad Asif, Muhammad Kashif Hanif, Muhammad Hasanain Chaudary

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Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid by Cuomu Yixi, Xiaoming Liu, Yu Li, Jingming Tan, Zhihong Liu, Basang Danzeng, Lei Wang

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Design and validation of a power modulation system for residential demand-side management by Aaron Goldin, Elizabeth Buechler, Ram Rajagopal, Juan M. Rivas-Davila

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Low-carbon economic dispatch of integrated energy system with carbon capture power plant and multiple utilization of hydrogen energy by Jiarui Wang, Xiu Ji, Xiangdong Meng, Yang Bai, Meiyue Li

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Optimizing Heat Pump Control in an NZEB via Model Predictive Control and Building Simulation by Christian Baumann, Philipp Wohlgenannt, Wolfgang Streicher, Peter Kepplinger

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Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model by Saber Armaghani, Zahra Moravej

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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket, Baseem Khan

“…For willingly reducing the demand, demand response has been called by providing appropriate financial incentives that supports in releasing the congestion over critical lines. …”
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Empirical case study of a digitally enabled energy community with prosumers and P2P trading by Philipp Staudt, Bent Richter

“…Overall willingness and ability to provide manual demand response might be low. Participants’ use of the provided digital tools were at least partly driven by their desire to control energy costs. …”
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Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm by Yuntao Yue, Haoran Ren, Dong Liu, Lenian Zhang

“…The modeling demand response is determined via a price–demand elasticity matrix, whereas the uncertainty of wind and solar power is established using Monte Carlo sampling and a K-means clustering algorithm. …”
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