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A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty

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Cited by:

  1. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  2. Prabatha, Tharindu & Karunathilake, Hirushie & Mohammadpour Shotorbani, Amin & Sadiq, Rehan & Hewage, Kasun, 2021. "Community-level decentralized energy system planning under uncertainty: A comparison of mathematical models for strategy development," Applied Energy, Elsevier, vol. 283(C).
  3. Wang, Zhimeng & Xuan, Ang & Shen, Xinwei & Du, Yunfei & Sun, Hongbin, 2023. "A robust planning model for offshore microgrid considering tidal power and desalination," Applied Energy, Elsevier, vol. 350(C).
  4. Kang, Jidong & Wu, Zhuochun & Ng, Tsan Sheng & Su, Bin, 2023. "A stochastic-robust optimization model for inter-regional power system planning," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1234-1248.
  5. Hongwei Li & Xingmin Li & Siyu Chen & Shuaibing Li & Yongqiang Kang & Xiping Ma, 2024. "Low-Carbon Optimal Scheduling of Integrated Energy System Considering Multiple Uncertainties and Electricity–Heat Integrated Demand Response," Energies, MDPI, vol. 17(1), pages 1-20, January.
  6. Li, Yanbin & Sun, Yanting & Liu, Jiechao & Liu, Chang & Zhang, Feng, 2023. "A data driven robust optimization model for scheduling near-zero carbon emission power plant considering the wind power output uncertainties and electricity-carbon market," Energy, Elsevier, vol. 279(C).
  7. Rahim, Sahar & Wang, Zhen & Ju, Ping, 2022. "Overview and applications of Robust optimization in the avant-garde energy grid infrastructure: A systematic review," Applied Energy, Elsevier, vol. 319(C).
  8. Feng, Jie & Ran, Lun & Wang, Zhiyuan & Zhang, Mengling, 2024. "Optimal energy scheduling of virtual power plant integrating electric vehicles and energy storage systems under uncertainty," Energy, Elsevier, vol. 309(C).
  9. Rodrigues, Filipe, 2025. "The berth allocation problem in bulk terminals under uncertainty," Operations Research Perspectives, Elsevier, vol. 14(C).
  10. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Maimaiti, Pakezhati & Zhao, Yi, 2024. "Cross-regional green certificate transaction strategies based on a double-layer game model," Applied Energy, Elsevier, vol. 356(C).
  11. Frédéric Babonneau & Javiera Barrera & Javiera Toledo, 2021. "Decarbonizing the Chilean Electric Power System: A Prospective Analysis of Alternative Carbon Emissions Policies," Energies, MDPI, vol. 14(16), pages 1-16, August.
  12. Agra, Agostinho & Rodrigues, Filipe, 2025. "Pareto front for two-stage distributionally robust optimization problems," European Journal of Operational Research, Elsevier, vol. 326(1), pages 174-188.
  13. He, Shuaijia & Gao, Hongjun & Wang, Lingfeng & Xiang, Yingmeng & Liu, Junyong, 2020. "Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response," Energy, Elsevier, vol. 213(C).
  14. Agostinho Agra & Adelaide Cerveira, 2024. "Wind farm layout optimization under uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 202-223, July.
  15. Zhang, Liu & Zhang, Kaitian & Zheng, Zhong & Chai, Yi & Lian, Xiaoyuan & Zhang, Kai & Xu, Zhaojun & Chen, Sujun, 2023. "Two-stage distributionally robust integrated scheduling of oxygen distribution and steelmaking-continuous casting in steel enterprises," Applied Energy, Elsevier, vol. 351(C).
  16. Agra, Agostinho & Rodrigues, Filipe, 2022. "Distributionally robust optimization for the berth allocation problem under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 1-24.
  17. Yin, Mingjia & Li, Kang & Yu, James, 2022. "A data-driven approach for microgrid distributed generation planning under uncertainties," Applied Energy, Elsevier, vol. 309(C).
  18. Abdin, Adam F. & Caunhye, Aakil & Zio, Enrico & Cardin, Michel-Alexandre, 2022. "Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach," Applied Energy, Elsevier, vol. 306(PA).
  19. Lin, Penghui & Zhang, Limao & Tiong, Robert L.K., 2023. "Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  20. 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).
  21. Qiu, Haifeng & Gu, Wei & Liu, Pengxiang & Sun, Qirun & Wu, Zhi & Lu, Xi, 2022. "Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective," Energy, Elsevier, vol. 251(C).
  22. Li, Jinchao & Sun, Zihao & Niu, Xiaoxuan & Li, Shiwei, 2024. "Economic optimization scheduling of virtual power plants considering an incentive based tiered carbon price," Energy, Elsevier, vol. 305(C).
  23. Merve Kayacı Çodur, 2023. "Ensemble Machine Learning Approaches for Prediction of Türkiye’s Energy Demand," Energies, MDPI, vol. 17(1), pages 1-25, December.
  24. Dubois, Antoine & Dumas, Jonathan & Thiran, Paolo & Limpens, Gauthier & Ernst, Damien, 2023. "Multi-objective near-optimal necessary conditions for multi-sectoral planning," Applied Energy, Elsevier, vol. 350(C).
  25. Chen, Changming & Wu, Xueyan & Li, Yan & Zhu, Xiaojun & Li, Zesen & Ma, Jien & Qiu, Weiqiang & Liu, Chang & Lin, Zhenzhi & Yang, Li & Wang, Qin & Ding, Yi, 2021. "Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages," Applied Energy, Elsevier, vol. 302(C).
  26. Zeynali, Saeed & Nasiri, Nima & Marzband, Mousa & Ravadanegh, Sajad Najafi, 2021. "A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets," Applied Energy, Elsevier, vol. 300(C).
  27. Sayed, Ahmed Rabee & Wang, Cheng & Chen, Sheng & Shang, Ce & Bi, Tianshu, 2021. "Distributionally robust day-ahead operation of power systems with two-stage gas contracting," Energy, Elsevier, vol. 231(C).
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