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Peer-to-peer energy trading of net-zero energy communities with renewable energy systems integrating hydrogen vehicle storage

Citations

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Cited by:

  1. Desantes, J.M. & Novella, R. & Pla, B. & Lopez-Juarez, M., 2022. "A modeling framework for predicting the effect of the operating conditions and component sizing on fuel cell degradation and performance for automotive applications," Applied Energy, Elsevier, vol. 317(C).
  2. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
  3. Dewi, Retno Gumilang & Siagian, Ucok Welo Risma & Asmara, Briantama & Anggraini, Syahrina Dyah & Ichihara, Jun & Kobashi, Takuro, 2023. "Equitable, affordable, and deep decarbonization pathways for low-latitude developing cities by rooftop photovoltaics integrated with electric vehicles," Applied Energy, Elsevier, vol. 332(C).
  4. Nirbheram, Joshi Sukhdev & Mahesh, Aeidapu & Bhimaraju, Ambati, 2024. "Techno-economic optimization of standalone photovoltaic-wind turbine-battery energy storage system hybrid energy system considering the degradation of the components," Renewable Energy, Elsevier, vol. 222(C).
  5. Zhou, Yuekuan, 2023. "A dynamic self-learning grid-responsive strategy for battery sharing economy—multi-objective optimisation and posteriori multi-criteria decision making," Energy, Elsevier, vol. 266(C).
  6. Zhou, Yuekuan, 2024. "AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing," Renewable Energy, Elsevier, vol. 225(C).
  7. Chang, Weiguang & Yang, Qiang, 2023. "Low carbon oriented collaborative energy management framework for multi-microgrid aggregated virtual power plant considering electricity trading," Applied Energy, Elsevier, vol. 351(C).
  8. Zhou, Yuekuan, 2022. "A regression learner-based approach for battery cycling ageing prediction―advances in energy management strategy and techno-economic analysis," Energy, Elsevier, vol. 256(C).
  9. He, Yingdong & Zhou, Yuekuan & Wang, Zhe & Liu, Jia & Liu, Zhengxuan & Zhang, Guoqiang, 2021. "Quantification on fuel cell degradation and techno-economic analysis of a hydrogen-based grid-interactive residential energy sharing network with fuel-cell-powered vehicles," Applied Energy, Elsevier, vol. 303(C).
  10. Nima Narjabadifam & Javanshir Fouladvand & Mustafa Gül, 2023. "Critical Review on Community-Shared Solar—Advantages, Challenges, and Future Directions," Energies, MDPI, vol. 16(8), pages 1-25, April.
  11. Dong, Xiangxiang & Wu, Jiang & Xu, Zhanbo & Liu, Kun & Guan, Xiaohong, 2022. "Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage," Applied Energy, Elsevier, vol. 308(C).
  12. Bernadette Fina & Miriam Schwebler & Carolin Monsberger, 2022. "Different Technologies’ Impacts on the Economic Viability, Energy Flows and Emissions of Energy Communities," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
  13. Paul Grunow, 2022. "Decentral Hydrogen," Energies, MDPI, vol. 15(8), pages 1-15, April.
  14. Liao, Wei & Xiao, Fu & Li, Yanxue & Peng, Jinqing, 2024. "Comparative study on electricity transactions between multi-microgrid: A hybrid game theory-based peer-to-peer trading in heterogeneous building communities considering electric vehicles," Applied Energy, Elsevier, vol. 367(C).
  15. Jing, Rui & Hua, Weiqi & Lin, Jian & Lin, Jianyi & Zhao, Yingru & Zhou, Yue & Wu, Jianzhong, 2022. "Cost-efficient decarbonization of local energy systems by whole-system based design optimization," Applied Energy, Elsevier, vol. 326(C).
  16. Jin-Li Hu & Min-Yueh Chuang, 2023. "The Importance of Energy Prosumers for Affordable and Clean Energy Development: A Review of the Literature from the Viewpoints of Management and Policy," Energies, MDPI, vol. 16(17), pages 1-16, August.
  17. Song, Zhe & Cao, Sunliang & Yang, Hongxing, 2023. "Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based approaches," Applied Energy, Elsevier, vol. 339(C).
  18. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods," Applied Energy, Elsevier, vol. 321(C).
  19. He, Yingdong & Zhou, Yuekuan & Liu, Jia & Liu, Zhengxuan & Zhang, Guoqiang, 2022. "An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles," Applied Energy, Elsevier, vol. 324(C).
  20. Akhtar Hussain & Hak-Man Kim, 2024. "Enhancing Renewable Energy Use in Residential Communities: Analyzing Storage, Trading, and Combinations," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
  21. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Net-zero energy management and optimization of commercial building sectors with hybrid renewable energy systems integrated with energy storage of pumped hydro and hydrogen taxis," Applied Energy, Elsevier, vol. 321(C).
  22. Zhou, Yuekuan & Liu, Xiaohua & Zhao, Qianchuan, 2024. "A stochastic vehicle schedule model for demand response and grid flexibility in a renewable-building-e-transportation-microgrid," Renewable Energy, Elsevier, vol. 221(C).
  23. Zhou, Yuekuan, 2022. "Energy sharing and trading on a novel spatiotemporal energy network in Guangdong-Hong Kong-Macao Greater Bay Area," Applied Energy, Elsevier, vol. 318(C).
  24. Chang, Soowon & Cho, Junyoung & Heo, Jae & Kang, Junsuk & Kobashi, Takuro, 2022. "Energy infrastructure transitions with PV and EV combined systems using techno-economic analyses for decarbonization in cities," Applied Energy, Elsevier, vol. 319(C).
  25. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer trading optimizations on net-zero energy communities with energy storage of hydrogen and battery vehicles," Applied Energy, Elsevier, vol. 302(C).
  26. Qiu, Dawei & Xue, Juxing & Zhang, Tingqi & Wang, Jianhong & Sun, Mingyang, 2023. "Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading," Applied Energy, Elsevier, vol. 333(C).
  27. Mottaghizadeh, Pegah & Jabbari, Faryar & Brouwer, Jack, 2022. "Integrated solid oxide fuel cell, solar PV, and battery storage system to achieve zero net energy residential nanogrid in California," Applied Energy, Elsevier, vol. 323(C).
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