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A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems

Citations

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Cited by:

  1. Xiaozhi Gao & Han Xiao & Shiwei Xu & Hsiung-Cheng Lin & Pengyu Chang, 2024. "What Is the Optimal Solution for Scheduling Multiple Energy Systems? Overview and Analysis of Integrated Energy Co-Dispatch Models," Energies, MDPI, vol. 17(18), pages 1-25, September.
  2. Huang, Yaohui & Zhao, Yuan & Wang, Zhijin & Liu, Xiufeng & Liu, Hanjing & Fu, Yonggang, 2023. "Explainable district heat load forecasting with active deep learning," Applied Energy, Elsevier, vol. 350(C).
  3. Ma, Lan & Xie, Lirong & Ye, Jiahao & Bian, Yifan, 2024. "Two-stage dispatching strategy for park-level integrated energy systems based on a master-slave-cooperative hybrid game model," Renewable Energy, Elsevier, vol. 232(C).
  4. Muhammed Cavus & Dilum Dissanayake & Margaret Bell, 2025. "Deep-Fuzzy Logic Control for Optimal Energy Management: A Predictive and Adaptive Framework for Grid-Connected Microgrids," Energies, MDPI, vol. 18(4), pages 1-25, February.
  5. Ren, Ting & Li, Ran & Li, Xin, 2023. "Bi-level multi-objective robust optimization for performance improvements in integrated energy system with solar fuel production," Renewable Energy, Elsevier, vol. 219(P1).
  6. Jingbo Zhao & Zhengping Gao & Zhe Chen, 2025. "Energy Management of Electric–Hydrogen Coupled Integrated Energy System Based on Improved Proximal Policy Optimization Algorithm," Energies, MDPI, vol. 18(15), pages 1-17, July.
  7. Hugo Gaspar Hernandez-Palma & Jonny Rafael Plaza Alvarado & Jesús Enrique García Guiliany & Guilherme Luiz Dotto & Claudete Gindri Ramos, 2024. "Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 1-10, March.
  8. Duan, Pengfei & Zhao, Xiaoyu & Hu, Jinxue & Li, Kang & Xue, Qingwen & Cao, Xiaodong & Wang, Yanmin & Zhao, Bingxu & Zhang, Chenyang & Yuan, Xiaoyang, 2026. "Multi-energy load forecasting incorporating AI algorithms: research status and trends in integrated energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 229(C).
  9. Zhao, Wanbing & Chang, Weiguang & Yang, Qiang, 2024. "Collaborative energy management of interconnected regional integrated energy systems considering spatio-temporal characteristics," Renewable Energy, Elsevier, vol. 235(C).
  10. Aghimien, Emmanuel I. & Tsang, Ernest K.W. & Li, Shuyang, 2025. "CIE standard general sky model: A review of research landscape, modelling techniques and building energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 221(C).
  11. Thanapong Champahom & Chinnakrit Banyong & Thananya Janhuaton & Chamroeun Se & Fareeda Watcharamaisakul & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2025. "Deep Learning vs. Gradient Boosting: Optimizing Transport Energy Forecasts in Thailand Through LSTM and XGBoost," Energies, MDPI, vol. 18(7), pages 1-30, March.
  12. Abdul Mateen Khan & Muhammad Abubakar Tariq & Sardar Kashif Ur Rehman & Talha Saeed & Fahad K. Alqahtani & Mohamed Sherif, 2024. "BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis," Energies, MDPI, vol. 17(13), pages 1-36, July.
  13. Ruoso, Ana Cristina & Ribeiro, José Luis Duarte & Olaru, Doina, 2024. "Electric vehicles' impact on energy balance: Three-country comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
  14. Chen, Zili & Zhou, Ming & Wu, Zhaoyuan & Yang, Linyan & Yue, Hao, 2025. "Attribution analysis to Co-planning renewable energy and storage capacity based on Shapley Additive Explanation," Energy, Elsevier, vol. 325(C).
  15. Fasogbon, Samson Kolawole & Fetuga, Ibrahim Ademola & Oyeniran, Ayodele Temitope & Shaibu, Samuel Adavize & Afolabi, Samuel & Ndokwu, Tochukwu Anthony & Oluwadare, Seyi Rufus & Onafowokan, John Temito, 2025. "Optimization of energy grid efficiency with machine learning: A comprehensive review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
  16. Guo, Chengke & Zhang, Ji & Yuan, Han & Yuan, Yonggong & Wang, Haifeng & Mei, Ning, 2024. "Informer-based model predictive control framework considering group controlled hydraulic balance model to improve the precision of client heat load control in district heating system," Applied Energy, Elsevier, vol. 373(C).
  17. Satpathy, Priya Ranjan & Ramachandaramurthy, Vigna Kumaran, 2026. "Artificial intelligence and machine learning for distributed energy resource management systems: Applications, frameworks, and future directions," Applied Energy, Elsevier, vol. 403(PB).
  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. Kazim, Muhammad & Pirim, Harun & Yadav, Om Prakash & Le, Chau & Le, Trung, 2025. "Analysis of multilayer energy networks: A comprehensive literature review," Applied Energy, Elsevier, vol. 398(C).
  20. Dezhou Kong & Jianru Jing & Tingyue Gu & Xuanyue Wei & Xingning Sa & Yimin Yang & Zhiang Zhang, 2023. "Theoretical Analysis of Integrated Community Energy Systems (ICES) Considering Integrated Demand Response (IDR): A Review of the System Modelling and Optimization," Energies, MDPI, vol. 16(10), pages 1-22, May.
  21. Nithin Isaac & Akshay K. Saha, 2023. "A Review of the Optimization Strategies and Methods Used to Locate Hydrogen Fuel Refueling Stations," Energies, MDPI, vol. 16(5), pages 1-16, February.
  22. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
  23. Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
  24. Alabi, Tobi Michael & Lawrence, Nathan P. & Lu, Lin & Yang, Zaiyue & Bhushan Gopaluni, R., 2023. "Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system," Applied Energy, Elsevier, vol. 333(C).
  25. Wang, Meng & Tang, Yin & Guo, Haijin & Li, Chaoen & Yu, Hang & Jing, Rui, 2026. "A novel co-optimisation framework for integrated energy systems coupled with multiple demand-side technologies under carbon tax," Renewable Energy, Elsevier, vol. 257(C).
  26. Li, Yang & Zhao, Bingsong & Li, Yuanzheng & Long, Chao & Li, Sen & Dong, Zhaoyang & Shahidehpour, Mohammad, 2025. "Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling with multi-channel informer forecasting and electric vehicle demand response," Applied Energy, Elsevier, vol. 399(C).
  27. Hassan, Ahmed A. & El-Rayes, Khaled, 2024. "Optimal use of renewable energy technologies during building schematic design phase," Applied Energy, Elsevier, vol. 353(PA).
  28. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Optimal energy management of integrated energy systems for strategic participation in competitive electricity markets," Energy, Elsevier, vol. 278(PA).
  29. Bui, Tuananh & Kang, Byeonghyun & Kim, Young Sang & Bae, Yonggyun & Lee, Dong Keun & Lee, Sang Min & Park, Jin Young, 2025. "Fuel cell based tri-generation system for horticulture – part 1. Heating," Energy, Elsevier, vol. 332(C).
  30. Chen, Nan & Gao, Junheng & Gao, Lihui & Yang, Shuanghao & Chen, Shouyan, 2025. "Economic dispatch of integrated energy systems taking into account the participation of flexible loads and concentrated solar power plants," Energy, Elsevier, vol. 320(C).
  31. Hassan, Muhammed A. & Araji, Mohamad T., 2024. "Hierarchical optimization of district heating plants by integrating evolutionary and non-linear programming algorithms," Applied Energy, Elsevier, vol. 373(C).
  32. Martzikos, Nikolas & Craven, Matthew & Walker, David & Conley, Daniel, 2026. "Enhancing offshore wind Resource assessment through neural network-based HF radar data analysis," Renewable Energy, Elsevier, vol. 256(PG).
  33. Chen, Yuzhu & Guo, Weimin & Lund, Peter D. & Du, Na & Yang, Kun & wang, Jun, 2024. "Configuration optimization of a wind-solar based net-zero emission tri-generation energy system considering renewable power and carbon trading mechanisms," Renewable Energy, Elsevier, vol. 232(C).
  34. Ma, Huan & Sun, Qinghan & Chen, Qun & Zhao, Tian & He, Kelun, 2023. "Exergy-based flexibility cost indicator and spatio-temporal coordination principle of distributed multi-energy systems," Energy, Elsevier, vol. 267(C).
  35. Li, Ruhuan & Zhou, Jun & Qiu, Zitong & Li, Haonan & Li, Jinman & Wu, Ji & Wu, Kai, 2025. "Bi-level optimization of hybrid energy conversion system based on a multi-distinct low-carbon microgrid," Renewable Energy, Elsevier, vol. 239(C).
  36. Chen, Xianqing & Dong, Wei & Yang, Lingfang & Yang, Qiang, 2023. "Scenario-based robust capacity planning of regional integrated energy systems considering carbon emissions," Renewable Energy, Elsevier, vol. 207(C), pages 359-375.
  37. Lu, M.L. & Sun, Y.J. & Kokogiannakis, G. & Ma, Z.J., 2024. "Design of flexible energy systems for nearly/net zero energy buildings under uncertainty characteristics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 205(C).
  38. Tan, Quanwei & Zhu, Jiebei & Xue, Guijun & Xie, Wenju, 2025. "A hybrid heat load forecasting model based on multistage decomposition and dynamic adaptive loss function," Energy, Elsevier, vol. 335(C).
  39. Wang, Yongfeng & Li, Shuguang & Bu sinnah, Zainab Ali & Ghandour, Raymond & Khan, Mohammad Nadeem & Ali, H. Elhosiny, 2024. "Optimizing energy efficiency and emission reduction: Leveraging the power of machine learning in an integrated compressed air energy storage-solid oxide fuel cell system," Energy, Elsevier, vol. 313(C).
  40. Zhou, Yu & Meng, Kai & Liu, Wei & Chen, Ke & Chen, Wenshang & Zhang, Ning & Chen, Ben, 2024. "Multi-objective optimization of comprehensive performance enhancement for proton exchange membrane fuel cell based on machine learning," Renewable Energy, Elsevier, vol. 232(C).
  41. Li, Feng & Hou, Hui & Ni, Tian & Wang, Pingfan & Wang, Yingxiang & Li, Zhengmao & Pouresmaeil, Edris, 2025. "A novel deep reinforcement learning framework for optimal scheduling of low-carbon integrated energy systems considering battery degradation," Energy, Elsevier, vol. 341(C).
  42. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2024. "Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning," Energy, Elsevier, vol. 304(C).
  43. Yan, Qingzhi & Niu, Honghai & Guo, Zhenyu & Li, Yiguo, 2025. "Dynamic scheduling for integrated energy systems: A variable timescale approach with process parameter deviation-driven feedback correction," Energy, Elsevier, vol. 334(C).
  44. Yilmaz, Ceyhun & Sen, Ozan, 2024. "Feasibility of optimum energy use and cost analyses by applying artificial intelligence and genetic optimization methods in geothermal and solar energy-assisted multigeneration systems," Renewable Energy, Elsevier, vol. 237(PA).
  45. Chen, Xianqing & Yang, Lingfang & Dong, Wei & Yang, Qiang, 2024. "Net-zero carbon emission oriented Bi-level optimal capacity planning of integrated energy system considering carbon capture and hydrogen facilities," Renewable Energy, Elsevier, vol. 237(PB).
  46. Xiang, Leijun & Lin, Qichao & Zhu, Shanying & Gao, Minkun, 2024. "Extended matrix modeling of integrated energy systems considering network dynamic characteristics and source–load uncertainty," Energy, Elsevier, vol. 312(C).
  47. Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Marzband, Mousa & Tostado-Véliz, Marcos & Jurado, Francisco & Aguado, José A., 2023. "An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster," Applied Energy, Elsevier, vol. 333(C).
  48. Lihui Gao & Shuanghao Yang & Nan Chen & Junheng Gao, 2024. "Integrated Energy System Dispatch Considering Carbon Trading Mechanisms and Refined Demand Response for Electricity, Heat, and Gas," Energies, MDPI, vol. 17(18), pages 1-20, September.
  49. Vilén, Karl & Ahlgren, Erik O., 2023. "Linear or mixed integer programming in long-term energy systems modeling – A comparative analysis for a local expanding heating system," Energy, Elsevier, vol. 283(C).
  50. Yang, Miao & Ding, Tao & Chang, Xinyue & Xue, Yixun & Ge, Huaichang & Jia, Wenhao & Du, Sijun & Zhang, Hongji, 2024. "Analysis of equivalent energy storage for integrated electricity-heat system," Energy, Elsevier, vol. 303(C).
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