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

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  1. 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).
  2. 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).
  3. 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).
  4. 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.
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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.
  12. 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).
  13. 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.
  14. 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.
  15. 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.
  16. 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).
  17. 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).
  18. 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.
  19. 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).
  20. 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.
  21. 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).
  22. Bâra, Adela & Oprea, Simona-Vasilica, 2024. "Enabling coordination in energy communities: A Digital Twin model," Energy Policy, Elsevier, vol. 184(C).
  23. 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.
  24. 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).
  25. 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.
  26. 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.
  27. 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.
  28. 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).
  29. 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).
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