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Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant

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  1. Yin, Shuangrui & Ai, Qian & Li, Jiamei & Li, Da & Guo, Qinglei, 2022. "Trading mode design for a virtual power plant based on main-side consortium blockchains," Applied Energy, Elsevier, vol. 325(C).
  2. Guo, Shi-man & Feng, Tian-tian, 2024. "Blockchain-based smart trading mechanism for renewable energy power consumption vouchers and green certificates: Platform design and simulation," Applied Energy, Elsevier, vol. 369(C).
  3. Huang, Z.F. & Soh, K.Y. & Islam, M.R. & Chua, K.J., 2023. "Development of a novel grid-free district cooling system considering blockchain-based demand response management," Applied Energy, Elsevier, vol. 342(C).
  4. Zeng, Yu & Wei, Xuan & Yao, Yuan & Xu, Yinliang & Sun, Hongbin & Kin Victor Chan, Wai & Feng, Wei, 2023. "Determining the pricing and deployment strategy for virtual power plants of peer-to-peer prosumers: A game-theoretic approach," Applied Energy, Elsevier, vol. 345(C).
  5. Lei, Yu & Ali, Mazhar & Khan, Imran Ali & Yinling, Wang & Mostafa, Aziz, 2024. "Presenting a model for decentralized operation based on the internet of things in a system multiple microgrids," Energy, Elsevier, vol. 293(C).
  6. Ioanna Andreoulaki & Aikaterini Papapostolou & Vangelis Marinakis, 2024. "Evaluating the Barriers to Blockchain Adoption in the Energy Sector: A Multicriteria Approach Using the Analytical Hierarchy Process for Group Decision Making," Energies, MDPI, vol. 17(6), pages 1-27, March.
  7. Ju, Liwei & Yin, Zhe & Zhou, Qingqing & Li, Qiaochu & Wang, Peng & Tian, Wenxu & Li, Peng & Tan, Zhongfu, 2022. "Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration power in rural areas," Applied Energy, Elsevier, vol. 310(C).
  8. Yi Yu & Guo-Ping Liu & Yi Huang & Chi Yung Chung & Yu-Zhong Li, 2024. "A blockchain consensus mechanism for real-time regulation of renewable energy power systems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  9. Xiong, Houbo & Luo, Fengji & Yan, Mingyu & Yan, Lei & Guo, Chuangxin & Ranzi, Gianluca, 2024. "Distributionally robust and transactive energy management scheme for integrated wind-concentrated solar virtual power plants," Applied Energy, Elsevier, vol. 368(C).
  10. Sidra Aslam & Viktor Bukovszki & Michael Mrissa, 2021. "Decentralized Data Management Privacy-Aware Framework for Positive Energy Districts," Energies, MDPI, vol. 14(21), pages 1-22, October.
  11. Kong, Xiangyu & Wang, Zhengtao & Liu, Chao & Zhang, Delong & Gao, Hongchao, 2023. "Refined peak shaving potential assessment and differentiated decision-making method for user load in virtual power plants," Applied Energy, Elsevier, vol. 334(C).
  12. Meng, Yuan & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "A Holistic P2P market for active and reactive energy trading in VPPs considering both financial benefits and network constraints," Applied Energy, Elsevier, vol. 356(C).
  13. Mei Cai & Suqiong Hu & Ya Wang & Jingmei Xiao, 2022. "A Dynamic Social Network Matching Model for Virtual Power Plants and Distributed Energy Resources with Probabilistic Linguistic Information," Sustainability, MDPI, vol. 14(22), pages 1-33, November.
  14. Bhargav Appasani & Sunil Kumar Mishra & Amitkumar V. Jha & Santosh Kumar Mishra & Florentina Magda Enescu & Ioan Sorin Sorlei & Fernando Georgel Bîrleanu & Noureddine Takorabet & Phatiphat Thounthong , 2022. "Blockchain-Enabled Smart Grid Applications: Architecture, Challenges, and Solutions," Sustainability, MDPI, vol. 14(14), pages 1-33, July.
  15. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
  16. Ding, Zhetong & Li, Yaping & Zhang, Kaifeng & Peng, Jimmy Chih-Hsien, 2024. "Two-stage dynamic aggregation involving flexible resource composition and coordination based on submodular optimization," Applied Energy, Elsevier, vol. 360(C).
  17. Li, Jiaxin & Xu, Zhanbo & Zhou, Yuzhou & Li, Yuting & Wu, Jiang & Guan, Xiaohong, 2024. "Optimal scheduling method and fast-solving algorithm for large-scale virtual power plants communication networks," Applied Energy, Elsevier, vol. 371(C).
  18. Wang, Zhenyi & Zhang, Hongcai, 2024. "Customer baseline load estimation for virtual power plants in demand response: An attention mechanism-based generative adversarial networks approach," Applied Energy, Elsevier, vol. 357(C).
  19. Xiong, Chang & Su, Yixin & Wang, Hao & Dong, Zhengcheng & Tian, Meng & Shi, Binghua, 2024. "Consensus-based decentralized scheduling method for collaborative operation in seaport virtual power plant," Applied Energy, Elsevier, vol. 373(C).
  20. Wang, Hao-ran & Feng, Tian-tian & Xiong, Wei, 2022. "How can the dynamic game be integrated into blockchain-based distributed energy resources multi-agent transactions for decision-making?," Energy, Elsevier, vol. 254(PB).
  21. Gawusu, Sidique, 2024. "Evolving energy landscapes: A computational analysis of the determinants of energy poverty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  22. Mohammad Mohammadi Roozbehani & Ehsan Heydarian-Forushani & Saeed Hasanzadeh & Seifeddine Ben Elghali, 2022. "Virtual Power Plant Operational Strategies: Models, Markets, Optimization, Challenges, and Opportunities," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
  23. Martin Bichler & Hans Ulrich Buhl & Johannes Knörr & Felipe Maldonado & Paul Schott & Stefan Waldherr & Martin Weibelzahl, 2022. "Electricity Markets in a Time of Change: A Call to Arms for Business Research," Schmalenbach Journal of Business Research, Springer, vol. 74(1), pages 77-102, March.
  24. Gourisetti, Sri Nikhil Gupta & Sebastian-Cardenas, D. Jonathan & Bhattarai, Bishnu & Wang, Peng & Widergren, Steve & Borkum, Mark & Randall, Alysha, 2021. "Blockchain smart contract reference framework and program logic architecture for transactive energy systems," Applied Energy, Elsevier, vol. 304(C).
  25. Liangjiang Wei & Wei Jian & Baochuan Fu & Baoping Jiang, 2023. "Research on Real-Time Trading Mechanism of Photovoltaic Microgrid Based on the Consortium Blockchain," Energies, MDPI, vol. 16(23), pages 1-14, November.
  26. Jiang, Yuzheng & Dong, Jun & Huang, Hexiang, 2024. "Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm," Energy, Elsevier, vol. 306(C).
  27. Sergio Cantillo-Luna & Ricardo Moreno-Chuquen & David Celeita & George J. Anders, 2024. "A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets," Energies, MDPI, vol. 17(10), pages 1-28, May.
  28. Wu, Donglong & Zhou, Dequn & Zhu, Qingyuan & Wu, Liangpeng, 2024. "An investigation into the role of Residents' cognitive preferences in distributed renewable energy development," Applied Energy, Elsevier, vol. 372(C).
  29. Guixing Yang & Haoran Liu & Weiqing Wang & Junru Chen & Shunbo Lei, 2023. "Distributed Optimal Coordination of a Virtual Power Plant with Residential Regenerative Electric Heating Systems," Energies, MDPI, vol. 16(11), pages 1-15, May.
  30. Ruixiang Zhang & Ziyu Zhu & Meng Yuan & Yihan Guo & Jie Song & Xuanxuan Shi & Yu Wang & Yaojie Sun, 2023. "Regional Residential Short-Term Load-Interval Forecasting Based on SSA-LSTM and Load Consumption Consistency Analysis," Energies, MDPI, vol. 16(24), pages 1-17, December.
  31. Alam, Khandoker Shahjahan & Kaif, A.M.A. Daiyan & Das, Sajal K., 2024. "A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: Lab scale studies and large scale proposal," Applied Energy, Elsevier, vol. 365(C).
  32. Ju, Liwei & Yin, Zhe & Lu, Xiaolong & Yang, Shenbo & Li, Peng & Rao, Rao & Tan, Zhongfu, 2022. "A Tri-dimensional Equilibrium-based stochastic optimal dispatching model for a novel virtual power plant incorporating carbon Capture, Power-to-Gas and electric vehicle aggregator," Applied Energy, Elsevier, vol. 324(C).
  33. Andrea Calvagna & Giovanni Marotta & Giuseppe Pappalardo & Emiliano Tramontana, 2024. "A Blockchain-Based Real-Time Power Balancing Service for Trustless Renewable Energy Grids," Future Internet, MDPI, vol. 16(5), pages 1-22, April.
  34. Huiru Zhao & Chao Zhang & Yihang Zhao & Xuejie Wang, 2022. "Low-Carbon Economic Dispatching of Multi-Energy Virtual Power Plant with Carbon Capture Unit Considering Uncertainty and Carbon Market," Energies, MDPI, vol. 15(19), pages 1-25, October.
  35. Yap, Kah Yung & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2023. "Blockchain technology for distributed generation: A review of current development, challenges and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
  36. Paraskevas Koukaras & Konstantinos D. Afentoulis & Pashalis A. Gkaidatzis & Aristeidis Mystakidis & Dimosthenis Ioannidis & Stylianos I. Vagropoulos & Christos Tjortjis, 2024. "Integrating Blockchain in Smart Grids for Enhanced Demand Response: Challenges, Strategies, and Future Directions," Energies, MDPI, vol. 17(5), pages 1-32, February.
  37. Irudayaraj, Andrew Xavier Raj & Qiu, Haifeng & Veerasamy, Veerapandiyan & Tan, Wen-Shan & Gooi, Hoay Beng, 2024. "Blockchain-based distributed frequency control of sustainable networked microgrid system with P2P trading," Applied Energy, Elsevier, vol. 373(C).
  38. Zhang, Hongyan & Gao, Shuaizhi & Zhou, Peng, 2023. "Role of digitalization in energy storage technological innovation: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  39. Jiangping Liu & Jing Wang & Xue Cui & Peng Liu & Pingzheng Tong & Xuehan Dang, 2024. "Optimal Allocation of Community Distributed Energy and Storage Based on Regional Autonomous Balance and Sharing Mechanism," Energies, MDPI, vol. 18(1), pages 1-19, December.
  40. Esfahani, Moein & Alizadeh, Ali & Amjady, Nima & Kamwa, Innocent, 2024. "A distributed VPP-integrated co-optimization framework for energy scheduling, frequency regulation, and voltage support using data-driven distributionally robust optimization with Wasserstein metric," Applied Energy, Elsevier, vol. 361(C).
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