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Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties

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  1. Zhao, Junjie & Liu, Yang & Tu, Zhengkai & Chan, Siew Hwa, 2025. "A novel flexible load regulation and 4E-F multi-objective optimization for distributed renewable energy power generation system," Applied Energy, Elsevier, vol. 383(C).
  2. Dong, Xing & Zhang, Chenghui & Sun, Bo, 2022. "Optimization strategy based on robust model predictive control for RES-CCHP system under multiple uncertainties," Applied Energy, Elsevier, vol. 325(C).
  3. do Amaral, J.V.S. & dos Santos, C.H. & Montevechi, J.A.B. & de Queiroz, A.R., 2023. "Energy Digital Twin applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  4. Asadzadeh, Seyed Mohammad & Andersen, Nils Axel, 2024. "Optimal operational planning of a bio-fuelled cogeneration plant: Integration of sparse nonlinear dynamics identification and deep reinforcement learning," Applied Energy, Elsevier, vol. 376(PA).
  5. Wang, Shengshi & Fang, Jiakun & Wu, Jianzhong & Liang, Yongtu & Ai, Xiaomeng & Cui, Shichang & Liu, Jingguan & Zhou, Yue & Gan, Wei & Li, Miao & Zhao, Songli & Wen, Jinyu, 2025. "Event-triggered security-constrained energy management scheme on shared transmission systems for renewable fuels and refined oil: Implementation and field tests in South China," Applied Energy, Elsevier, vol. 389(C).
  6. Namita Kumari & Ankush Sharma & Binh Tran & Naveen Chilamkurti & Damminda Alahakoon, 2023. "A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced," Energies, MDPI, vol. 16(14), pages 1-19, July.
  7. Fadhil Khadoum Alhousni & Firas Basim Ismail Alnaimi & Paul C. Okonkwo & Ikram Ben Belgacem & Hassan Mohamed & El Manaa Barhoumi, 2023. "Photovoltaic Power Prediction Using Analytical Models and Homer-Pro: Investigation of Results Reliability," Sustainability, MDPI, vol. 15(11), pages 1-13, May.
  8. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
  9. Tian, Zhirui & Liu, Weican & Zhang, Jiahao & Sun, Wenpu & Wu, Chenye, 2025. "EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch," Applied Energy, Elsevier, vol. 383(C).
  10. Zhu, Jizhong & Dong, Hanjiang & Zheng, Weiye & Li, Shenglin & Huang, Yanting & Xi, Lei, 2022. "Review and prospect of data-driven techniques for load forecasting in integrated energy systems," Applied Energy, Elsevier, vol. 321(C).
  11. Hasith Jayasinghe & Kosala Gunawardane & Robert Nicholson, 2025. "Applications of Electrical Load Modelling in Digital Twins of Power Systems," Energies, MDPI, vol. 18(4), pages 1-25, February.
  12. Bâra, Adela & Oprea, Simona-Vasilica, 2024. "Enabling coordination in energy communities: A Digital Twin model," Energy Policy, Elsevier, vol. 184(C).
  13. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
  14. Zhiyuan Zhang & Zhanshan Wang, 2023. "Multi-Objective Prediction of Integrated Energy System Using Generative Tractive Network," Mathematics, MDPI, vol. 11(20), pages 1-18, October.
  15. Wu, Kang & Jiang, Mian & Huang, Yisheng & Dai, Zhong & Wang, Xiaoming & Duan, Zhixuan & Wang, Yuqing & Li, Guiqiang, 2025. "Optimization of multi-objective capacity allocation and performance analysis for integrated energy systems considering hydrogen storage," Energy, Elsevier, vol. 325(C).
  16. Zifan Ning & Min Jin & Pan Zeng, 2025. "A Multimodal Interaction-Driven Feature Discovery Framework for Power Demand Forecasting," Energies, MDPI, vol. 18(11), pages 1-25, June.
  17. Sri Nikhil Gupta Gourisetti & Sraddhanjoli Bhadra & David Jonathan Sebastian-Cardenas & Md Touhiduzzaman & Osman Ahmed, 2023. "A Theoretical Open Architecture Framework and Technology Stack for Digital Twins in Energy Sector Applications," Energies, MDPI, vol. 16(13), pages 1-58, June.
  18. Zhu, Yilin & Xu, Yujie & Chen, Haisheng & Guo, Huan & Zhang, Hualiang & Zhou, Xuezhi & Shen, Haotian, 2023. "Optimal dispatch of a novel integrated energy system combined with multi-output organic Rankine cycle and hybrid energy storage," Applied Energy, Elsevier, vol. 343(C).
  19. Hua, Weiqi & Stephen, Bruce & Wallom, David C.H., 2023. "Digital twin based reinforcement learning for extracting network structures and load patterns in planning and operation of distribution systems," Applied Energy, Elsevier, vol. 342(C).
  20. Olympios, Andreas V. & Kourougianni, Fanourios & Arsalis, Alexandros & Papanastasiou, Panos & Pantaleo, Antonio M. & Markides, Christos N. & Georghiou, George E., 2024. "A holistic framework for the optimal design and operation of electricity, heating, cooling and hydrogen technologies in buildings," Applied Energy, Elsevier, vol. 370(C).
  21. Liu, Zihan & Li, Jiaxing & Li, Pengxiang & Sang, Yufeng & Zhao, Han & Wang, Leilei & Ye, Tianzhen & Jurasz, Jakub & Zheng, Wandong, 2025. "Optimization of integrated energy systems in low-carbon community considering vehicle-to-building and the mobility of electric vehicles," Energy, Elsevier, vol. 328(C).
  22. Majidi Nezhad, Meysam & Neshat, Mehdi & Sylaios, Georgios & Astiaso Garcia, Davide, 2024. "Marine energy digitalization digital twin's approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  23. Vladimir Simankov & Pavel Buchatskiy & Anatoliy Kazak & Semen Teploukhov & Stefan Onishchenko & Kirill Kuzmin & Petr Chetyrbok, 2024. "A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies," Energies, MDPI, vol. 17(2), pages 1-23, January.
  24. Liu, Shuwei & Tian, Jianyan & Ji, Zhengxiong & Dai, Yuanyuan & Guo, Hengkuan & Yang, Shengqiang, 2024. "Research on multi-digital twin and its application in wind power forecasting," Energy, Elsevier, vol. 292(C).
  25. Suryakiran, B.V. & Nizami, Sohrab & Verma, Ashu & Saha, Tapan Kumar & Mishra, Sukumar, 2023. "A DSO-based day-ahead market mechanism for optimal operational planning of active distribution network," Energy, Elsevier, vol. 282(C).
  26. Machado, Diogo Ortiz & Chicaiza, William D. & Escaño, Juan M. & Gallego, Antonio J. & de Andrade, Gustavo A. & Normey-Rico, Julio E. & Bordons, Carlos & Camacho, Eduardo F., 2023. "Digital twin of an absorption chiller for solar cooling," Renewable Energy, Elsevier, vol. 208(C), pages 36-51.
  27. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Zhou, Bo & Guan, Qinyue & Tan, Jin & Lin, Zhongwei & Fang, Fang, 2022. "Day-ahead stochastic scheduling of integrated electricity and heat system considering reserve provision by large-scale heat pumps," Applied Energy, Elsevier, vol. 307(C).
  28. Ama Ranawaka & Damminda Alahakoon & Yuan Sun & Kushan Hewapathirana, 2024. "Leveraging the Synergy of Digital Twins and Artificial Intelligence for Sustainable Power Grids: A Scoping Review," Energies, MDPI, vol. 17(21), pages 1-52, October.
  29. Yuancheng Lin & Junlong Tang & Jing Guo & Shidong Wu & Zheng Li, 2025. "Advancing AI-Enabled Techniques in Energy System Modeling: A Review of Data-Driven, Mechanism-Driven, and Hybrid Modeling Approaches," Energies, MDPI, vol. 18(4), pages 1-29, February.
  30. Tsega Y. Melesse & Mohamed Shameer Peer & Suganthi Ramasamy & Vigneselvan Sivasubramaniyam & Mattia Braggio & Pier Francesco Orrù, 2025. "Digital Twin for Energy-Intelligent Bakery Operations: Concepts and Applications," Energies, MDPI, vol. 18(14), pages 1-18, July.
  31. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2022. "Multi-timescale hierarchical scheduling of an integrated energy system considering system inertia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
  32. Zeli Ye & Wentao Huang & Jinfeng Huang & Jun He & Chengxi Li & Yan Feng, 2023. "Optimal Scheduling of Integrated Community Energy Systems Based on Twin Data Considering Equipment Efficiency Correction Models," Energies, MDPI, vol. 16(3), pages 1-22, January.
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