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A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration

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  1. Ranjbar, Hossein & Kazemi, Mostafa & Amjady, Nima & Zareipour, Hamidreza & Hosseini, Seyed Hamid, 2022. "Maximizing the utilization of existing grids for renewable energy integration," Renewable Energy, Elsevier, vol. 189(C), pages 618-629.
  2. Li, Jinghua & Zhou, Jiasheng & Chen, Bo, 2020. "Review of wind power scenario generation methods for optimal operation of renewable energy systems," Applied Energy, Elsevier, vol. 280(C).
  3. Faezeh Akhavizadegan & Lizhi Wang & James McCalley, 2020. "Scenario Selection for Iterative Stochastic Transmission Expansion Planning," Energies, MDPI, vol. 13(5), pages 1-18, March.
  4. Khalid A. Alnowibet & Ahmad M. Alshamrani & Adel F. Alrasheedi, 2023. "A Bilevel Stochastic Optimization Framework for Market-Oriented Transmission Expansion Planning Considering Market Power," Energies, MDPI, vol. 16(7), pages 1-15, April.
  5. Xie, Bai-Chen & Yang, Yan-Shen & Chen, Xian-Peng, 2025. "Effect of grid expansion on interregional power dispatch towards carbon neutrality based on market equilibrium model," Energy Economics, Elsevier, vol. 151(C).
  6. Hu, Jinxing & Li, Hongru, 2022. "A transfer learning-based scenario generation method for stochastic optimal scheduling of microgrid with newly-built wind farm," Renewable Energy, Elsevier, vol. 185(C), pages 1139-1151.
  7. Xiang, Yue & Cai, Hanhu & Liu, Junyong & Zhang, Xin, 2021. "Techno-economic design of energy systems for airport electrification: A hydrogen-solar-storage integrated microgrid solution," Applied Energy, Elsevier, vol. 283(C).
  8. Hu, Jinxing & Yan, Pengqian & Tan, Guoqiang, 2025. "Spatiotemporal dependence modeling of wind speeds via adaptive-selected mixture pair copulas for scenario-based applications," Renewable Energy, Elsevier, vol. 244(C).
  9. Kun Zheng & Zhiyuan Sun & Yi Song & Chen Zhang & Chunyu Zhang & Fuhao Chang & Dechang Yang & Xueqian Fu, 2025. "Stochastic Scenario Generation Methods for Uncertainty in Wind and Photovoltaic Power Outputs: A Comprehensive Review," Energies, MDPI, vol. 18(3), pages 1-31, January.
  10. Densing, Martin & Wan, Yi, 2025. "Corrigendum to ‘Low-dimensional scenario generation method of solar and wind availability for representative days in energy modeling’[Applied Energy Volume 306 PB (2021) 118075]," Applied Energy, Elsevier, vol. 380(C).
  11. Liu, Xin & Yu, Jingjia & Gong, Lin & Liu, Minxia & Xiang, Xi, 2024. "A GCN-based adaptive generative adversarial network model for short-term wind speed scenario prediction," Energy, Elsevier, vol. 294(C).
  12. Zhou, Yuzhou & Zhai, Qiaozhu & Yuan, Wei & Wu, Jiang, 2021. "Capacity expansion planning for wind power and energy storage considering hourly robust transmission constrained unit commitment," Applied Energy, Elsevier, vol. 302(C).
  13. Dong, Wei & Chen, Xianqing & Yang, Qiang, 2022. "Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability," Applied Energy, Elsevier, vol. 308(C).
  14. Crespo-Vazquez, Jose L. & Carrillo, C. & Diaz-Dorado, E. & Martinez-Lorenzo, Jose A. & Noor-E-Alam, Md., 2018. "A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market," Applied Energy, Elsevier, vol. 232(C), pages 341-357.
  15. Xu, Junjun & Wu, Zaijun & Zhang, Tengfei & Hu, Qinran & Wu, Qiuwei, 2022. "A secure forecasting-aided state estimation framework for power distribution systems against false data injection attacks," Applied Energy, Elsevier, vol. 328(C).
  16. Mir Sayed Shah Danish, 2023. "AI and Expert Insights for Sustainable Energy Future," Energies, MDPI, vol. 16(8), pages 1-27, April.
  17. Bhuban Dhamala & Mona Ghassemi, 2024. "Smart Transmission Expansion Planning Based on the System Requirements: A Comparative Study with Unconventional Lines," Energies, MDPI, vol. 17(8), pages 1-14, April.
  18. Zheng, Kedi & Chen, Huiyao & Wang, Yi & Chen, Qixin, 2022. "Data-driven financial transmission right scenario generation and speculation," Energy, Elsevier, vol. 238(PC).
  19. Nikita Belyak & Steven A. Gabriel & Nikolay Khabarov & Fabricio Oliveira, 2023. "Renewable Energy Expansion under Taxes and Subsidies: A Transmission Operator's Perspective," Papers 2302.10562, arXiv.org, revised Apr 2024.
  20. Li, Zilu & Peng, Xiangang & Cui, Wenbo & Xu, Yilin & Liu, Jianan & Yuan, Haoliang & Lai, Chun Sing & Lai, Loi Lei, 2024. "A novel scenario generation method of renewable energy using improved VAEGAN with controllable interpretable features," Applied Energy, Elsevier, vol. 363(C).
  21. Esra Ilbahar & Cengiz Kahraman & Selcuk Cebi, 2023. "Evaluation of sustainable energy planning scenarios with a new approach based on FCM, WASPAS and impact effort matrix," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11931-11955, October.
  22. Yan, Chao & Geng, Xinbo & Bie, Zhaohong & Xie, Le, 2022. "Two-stage robust energy storage planning with probabilistic guarantees: A data-driven approach," Applied Energy, Elsevier, vol. 313(C).
  23. Yin, Xin & Chen, Haoyong & Liang, Zipeng & Zhu, Yanjin, 2023. "A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration," Applied Energy, Elsevier, vol. 351(C).
  24. Shen, Chao & Lei, Zhuoyu & Lv, Guoquan & Ni, Long & Deng, Shiming, 2019. "Experimental performance evaluation of a novel anti-fouling wastewater source heat pump system with a wastewater tower," Applied Energy, Elsevier, vol. 236(C), pages 690-699.
  25. Carta, José A. & Díaz, Santiago & Castañeda, Alberto, 2020. "A global sensitivity analysis method applied to wind farm power output estimation models," Applied Energy, Elsevier, vol. 280(C).
  26. Savelli, Iacopo & De Paola, Antonio & Li, Furong, 2020. "Ex-ante dynamic network tariffs for transmission cost recovery," Applied Energy, Elsevier, vol. 258(C).
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