Robust integrated-energy management of shared transmission systems for renewable fuels and refined oil considering decision-dependent pressure drop uncertainty
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DOI: 10.1016/j.apenergy.2026.127423
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- Jiang, Weixin & Wang, Junfang & Varbanov, Petar Sabev & Yuan, Qing & Chen, Yujie & Wang, Bohong & Yu, Bo, 2024. "Hybrid data-mechanism-driven model of the unsteady soil temperature field for long-buried crude oil pipelines with non-isothermal batch transportation," Energy, Elsevier, vol. 292(C).
- Liu, Xinmin & Sun, Wenqiang & Chen, Tiantian & Xu, Xiaoyuan & Huang, Tao, 2025. "Energy and environmental performance of iron and steel industry in real-time demand response: A case of hot rolling process," Applied Energy, Elsevier, vol. 389(C).
- Li, Zhuochao & Guo, Yi & Wang, Bohong & Yan, Yamin & Liang, Yongtu & Mikulčić, Hrvoje, 2024. "Two-stage optimization model for scheduling multiproduct pipeline network with multi-source and multi-terminal," Energy, Elsevier, vol. 306(C).
- Bertsimas, Dimitris & Kim, Cheol Woo, 2024. "A machine learning approach to two-stage adaptive robust optimization," European Journal of Operational Research, Elsevier, vol. 319(1), pages 16-30.
- Wang, Shengshi & Fang, Jiakun & Wu, Jianzhong & Ai, Xiaomeng & Cui, Shichang & Zhou, Yue & Gan, Wei & Xue, Xizhen & Huang, Danji & Zhang, Hongyu & Wen, Jinyu, 2025. "Learning-based spatially-cascaded distributed coordination of shared transmission systems for renewable fuels and refined oil with quasi-optimality preservation under uncertainty," Applied Energy, Elsevier, vol. 381(C).
- Li, Zhengbing & Liang, Yongtu & Ni, Weilong & Liao, Qi & Xu, Ning & Li, Lichao & Zheng, Jianqin & Zhang, Haoran, 2022. "Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines," Applied Energy, Elsevier, vol. 311(C).
- Li, Hui & Zhang, Hongcai & Zhang, Ji & Wu, Qiuwei & Wong, Chi-Kong, 2025. "A frequency-secured planning method for integrated electricity-heat microgrids with virtual inertia suppliers," Applied Energy, Elsevier, vol. 377(PB).
- Zhang, Hanxin & Sun, Wenqiang & Li, Weidong & Ma, Guangyu, 2022. "A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub," Applied Energy, Elsevier, vol. 309(C).
- 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).
- Yan, Mingyu & Gan, Wei & Zhou, Yue & Wen, Jianfeng & Yao, Wei, 2022. "Projection method for blockchain-enabled non-iterative decentralized management in integrated natural gas-electric systems and its application in digital twin modelling," Applied Energy, Elsevier, vol. 311(C).
- Shengshi Wang & Lianyong Zuo & Miao Li & Qiao Wang & Xizhen Xue & Qicong Liu & Shuai Jiang & Jian Wang & Xitong Duan, 2021. "The Data-Driven Modeling of Pressure Loss in Multi-Batch Refined Oil Pipelines with Drag Reducer Using Long Short-Term Memory (LSTM) Network," Energies, MDPI, vol. 14(18), pages 1-25, September.
- Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Fernández-Lobato, Lázuli & Jurado, Francisco, 2023. "Robust energy management in isolated microgrids with hydrogen storage and demand response," Applied Energy, Elsevier, vol. 345(C).
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