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Overview of Demand-Response Services: A Review

Citations

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Cited by:

  1. Monaco, Roberto & Bergaentzlé, Claire & Leiva Vilaplana, Jose Angel & Ackom, Emmanuel & Nielsen, Per Sieverts, 2024. "Digitalization of power distribution grids: Barrier analysis, ranking and policy recommendations," Energy Policy, Elsevier, vol. 188(C).
  2. Cátia Silva & Pedro Faria & Zita Vale, 2023. "Demand Response Implementation: Overview of Europe and United States Status," Energies, MDPI, vol. 16(10), pages 1-20, May.
  3. Iqra Nazir & Nermish Mushtaq & Waqas Amin, 2025. "Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review)," Energies, MDPI, vol. 18(19), pages 1-77, September.
  4. Zabala Urrutia, Laura & Schumann, Mathieu & Febres, Jesus, 2025. "Optimization of electric demand response based on users’ preferences," Energy, Elsevier, vol. 324(C).
  5. Siti Rosilah Arsad & Muhamad Haziq Hasnul Hadi & Nayli Aliah Mohd Afandi & Pin Jern Ker & Shirley Gee Hoon Tang & Madihah Mohd Afzal & Santhi Ramanathan & Chai Phing Chen & Prajindra Sankar Krishnan &, 2023. "The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives," Energies, MDPI, vol. 16(18), pages 1-31, September.
  6. Jinghong Zhou & Ke Chen & Weidong Wang, 2023. "A Power Evolution Game Model and Its Application Contained in Virtual Power Plants," Energies, MDPI, vol. 16(11), pages 1-22, May.
  7. Sonsaard, Parinya & Ketjoy, Nipon & Mensin, Yodthong, 2023. "Market strategy options to implement Thailand demand response program policy," Energy Policy, Elsevier, vol. 173(C).
  8. Abayomi A. Adebiyi & Mathew Habyarimana, 2025. "Systematic Review of Optimization Methodologies for Smart Home Energy Management Systems," Energies, MDPI, vol. 18(19), pages 1-28, October.
  9. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
  10. Pedro Faria & Zita Vale, 2022. "Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop," Energies, MDPI, vol. 16(1), pages 1-15, December.
  11. Yichang Zhang & Sha He & Min Pang & Qiong Li, 2023. "Green Technology Innovation of Energy Internet Enterprises: Study on Influencing Factors under Dual Carbon Goals," Energies, MDPI, vol. 16(3), pages 1-16, January.
  12. Gianni Bianchini & Marco Casini & Milad Gholami, 2025. "Optimal Prosumer Storage Management in Renewable Energy Communities Under Demand Response," Energies, MDPI, vol. 18(18), pages 1-20, September.
  13. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
  14. Ali Muqtadir & Bin Li & Bing Qi & Leyi Ge & Nianjiang Du & Chen Lin, 2025. "Demand Response Potential Forecasting: A Systematic Review of Methods, Challenges, and Future Directions," Energies, MDPI, vol. 18(19), pages 1-37, October.
  15. Khalili, Siavash & Lopez, Gabriel & Breyer, Christian, 2025. "Role and trends of flexibility options in 100% renewable energy system analyses towards the Power-to-X Economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
  16. Skoczkowski, Tadeusz & Bielecki, Sławomir & Wołowicz, Marcin & Sobczak, Lidia & Węglarz, Arkadiusz & Gilewski, Paweł, 2024. "Participation in demand side response. Are individual energy users interested in this?," Renewable Energy, Elsevier, vol. 232(C).
  17. Ferdaus, Md Meftahul & Dam, Tanmoy & Anavatti, Sreenatha & Das, Sarobi, 2024. "Digital technologies for a net-zero energy future: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  18. Ajla Mehinovic & Matej Zajc & Nermin Suljanovic, 2023. "Interpretation and Quantification of the Flexibility Sources Location on the Flexibility Service in the Distribution Grid," Energies, MDPI, vol. 16(2), pages 1-18, January.
  19. Eduardo J. Salazar & Mauro Jurado & Mauricio E. Samper, 2023. "Reinforcement Learning-Based Pricing and Incentive Strategy for Demand Response in Smart Grids," Energies, MDPI, vol. 16(3), pages 1-33, February.
  20. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
  21. Ruben Barreto & Calvin Gonçalves & Luis Gomes & Pedro Faria & Zita Vale, 2022. "Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Participate in Demand Response," Energies, MDPI, vol. 15(7), pages 1-18, March.
  22. Michalakopoulos, Vasilis & Sarmas, Elissaios & Papias, Ioannis & Skaloumpakas, Panagiotis & Marinakis, Vangelis & Doukas, Haris, 2024. "A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs," Applied Energy, Elsevier, vol. 361(C).
  23. Song, Xunxing & Hao, Xiaoli & Ai, Daifeng & Yin, Wei & Zhang, Shaobo & Luo, Chun & Zhou, Ke, 2025. "Energy flexibility of low-energy residential apartment in hot summer and cold winter regions: A comparative study on cooling season performance," Energy, Elsevier, vol. 324(C).
  24. Zheng, Xidong & Zhou, Sheng & Jin, Tao, 2023. "A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective," Energy, Elsevier, vol. 283(C).
  25. Marta Biegańska, 2022. "IoT-Based Decentralized Energy Systems," Energies, MDPI, vol. 15(21), pages 1-20, October.
  26. Gharibvand, Hossein & Gharehpetian, G.B. & Anvari-Moghaddam, A., 2024. "A survey on microgrid flexibility resources, evaluation metrics and energy storage effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
  27. van Stiphoudt, Christine & Potenciano Menci, Sergio & Kaymakci, Can & Wenninger, Simon & Bauer, Dennis & Duda, Sebastian & Fridgen, Gilbert & Sauer, Alexander, 2025. "The Energy Synchronization Platform concept in the model region Augsburg to enable and streamline automated industrial demand response," Applied Energy, Elsevier, vol. 388(C).
  28. Wu, Bo & Wang, Xiuli & Guan, Li & Li, Pai & Wang, Bangyan & Ma, Qiyue, 2025. "Enterprise-friendly demand response optimization in modern grid," Energy, Elsevier, vol. 332(C).
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