A Comprehensive Review of Shipboard Power Systems with New Energy Sources
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- Rui Yang & Yupeng Yuan & Rushun Ying & Boyang Shen & Teng Long, 2020. "A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 13(6), pages 1-14, March.
- Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
- Zheng, Jianqin & Zhang, Haoran & Dai, Yuanhao & Wang, Bohong & Zheng, Taicheng & Liao, Qi & Liang, Yongtu & Zhang, Fengwei & Song, Xuan, 2020. "Time series prediction for output of multi-region solar power plants," Applied Energy, Elsevier, vol. 257(C).
- Kwang-Il Kim & Keon Myung Lee, 2018. "Dynamic Programming-Based Vessel Speed Adjustment for Energy Saving and Emission Reduction," Energies, MDPI, vol. 11(5), pages 1-15, May.
- Fontenot, Hannah & Dong, Bing, 2019. "Modeling and control of building-integrated microgrids for optimal energy management – A review," Applied Energy, Elsevier, vol. 254(C).
- Wang, Fei & Chen, Peng & Zhen, Zhao & Yin, Rui & Cao, Chunmei & Zhang, Yagang & Duić, Neven, 2022. "Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method," Applied Energy, Elsevier, vol. 323(C).
- Lan, Hai & Yin, He & Hong, Ying-Yi & Wen, Shuli & Yu, David C. & Cheng, Peng, 2018. "Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route," Applied Energy, Elsevier, vol. 211(C), pages 15-27.
- Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Lin, Q.G. & Tan, Q., 2009. "Community-scale renewable energy systems planning under uncertainty--An interval chance-constrained programming approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 721-735, May.
- Wenjia Xia & Qihe Shan & Geyang Xiao & Yonggang Tu & Yuan Liang, 2022. "Distributed Optimization of Joint Seaport-All-Electric-Ships System under Polymorphic Network," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
- Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
- Xwégnon Ghislain Agoua & Robin Girard & Georges Kariniotakis, 2021. "Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy," Energies, MDPI, vol. 14(5), pages 1-15, March.
- Fan, Feilong & Aditya, Venkataraman & Xu, Yan & Cheong, Benjamin & Gupta, Amit K., 2022. "Robustly coordinated operation of a ship microgird with hybrid propulsion systems and hydrogen fuel cells," Applied Energy, Elsevier, vol. 312(C).
- Huang, Yuqing & Lan, Hai & Hong, Ying-Yi & Wen, Shuli & Fang, Sidun, 2020. "Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems," Energy, Elsevier, vol. 190(C).
- Rafael E. Carrillo & Martin Leblanc & Baptiste Schubnel & Renaud Langou & Cyril Topfel & Pierre-Jean Alet, 2020. "High-Resolution PV Forecasting from Imperfect Data: A Graph-Based Solution," Energies, MDPI, vol. 13(21), pages 1-17, November.
- Tomasz Kisielewicz & Milton Cuenca, 2022. "Overview of Transient Simulations of Grounding Systems under Surge Conditions," Energies, MDPI, vol. 15(20), pages 1-17, October.
- Hyun-Keun Ku & Chang-Hwan Park & Jang-Mok Kim, 2022. "Full Simulation Modeling of All-Electric Ship with Medium Voltage DC Power System," Energies, MDPI, vol. 15(12), pages 1-16, June.
- Wang, Kai & Xue, Yu & Xu, Hao & Huang, Lianzhong & Ma, Ranqi & Zhang, Peng & Jiang, Xiaoli & Yuan, Yupeng & Negenborn, Rudy R. & Sun, Peiting, 2022. "Joint energy consumption optimization method for wing-diesel engine-powered hybrid ships towards a more energy-efficient shipping," Energy, Elsevier, vol. 245(C).
- Xu, Lei & Wen, Yintang & Luo, Xiaoyuan & Lu, Zhigang & Guan, Xinping, 2022. "A modified power management algorithm with energy efficiency and GHG emissions limitation for hybrid power ship system," Applied Energy, Elsevier, vol. 317(C).
- André, Maïna & Dabo-Niang, Sophie & Soubdhan, Ted & Ould-Baba, Hanany, 2016. "Predictive spatio-temporal model for spatially sparse global solar radiation data," Energy, Elsevier, vol. 111(C), pages 599-608.
- Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Lin, Zhongwei & Fang, Fang & Chen, Qun, 2021. "Optimal operation of integrated electricity and heat system: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
- Geng, Xiulin & Xu, Lingyu & He, Xiaoyu & Yu, Jie, 2021. "Graph optimization neural network with spatio-temporal correlation learning for multi-node offshore wind speed forecasting," Renewable Energy, Elsevier, vol. 180(C), pages 1014-1025.
- Gao, Yuan & Miyata, Shohei & Akashi, Yasunori, 2022. "Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention," Applied Energy, Elsevier, vol. 321(C).
- Nam, SeungBeom & Hur, Jin, 2019. "A hybrid spatio-temporal forecasting of solar generating resources for grid integration," Energy, Elsevier, vol. 177(C), pages 503-510.
- Nikodinoska, Dragana & Käso, Mathias & Müsgens, Felix, 2022. "Solar and wind power generation forecasts using elastic net in time-varying forecast combinations," Applied Energy, Elsevier, vol. 306(PA).
- Liu, Yongqi & Qin, Hui & Zhang, Zhendong & Pei, Shaoqian & Wang, Chao & Yu, Xiang & Jiang, Zhiqiang & Zhou, Jianzhong, 2019. "Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
- Nosratabadi, Seyyed Mostafa & Hooshmand, Rahmat-Allah & Gholipour, Eskandar, 2017. "A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 341-363.
- Tang, Ruoli & Wu, Zhou & Li, Xin, 2018. "Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application," Energy, Elsevier, vol. 162(C), pages 697-714.
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- Michail Serris & Paraskevi Petrou & Isidoros Iakovidis & Sotiria Dimitrellou, 2023. "Techno-Economic and Environmental Evaluation of a Solar Energy System on a Ro-Ro Vessel for Sustainability," Energies, MDPI, vol. 16(18), pages 1-20, September.
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Keywords
ship power system; new energy; spatio-temporal prediction; ship power scheduling; digital twin;All these keywords.
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