Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control

Research article (International Journal of Green Energy, 2023) · cited 13× · AI/ML
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Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control

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Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-energy-management-strategies-for-hybrid-electric-ships-based-on-condition-identification-and-model-predictive
MLA “Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-energy-management-strategies-for-hybrid-electric-ships-based-on-condition-identification-and-model-predictive.
BibTeX @misc{4ortxyz_optimizing-energy-management-strategies-for-hybrid-electric-ships-based-on-condition-identification-and-model-predictive_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing energy management strategies for hybrid electric ships based on condition identification and model predictive control}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-energy-management-strategies-for-hybrid-electric-ships-based-on-condition-identification-and-model-predictive}, note = {Accessed: 2026-05-24}}
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