A study of scheduling strategies for microgrids based on the non-dominated sorting dung beetle optimization algorithm. [PDF]
Chen Y, Ning W, Du W.
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Comparative evaluation and architectural enhancement of a genetic algorithm-tuned fuzzy logic battery control in microgrid energy management. [PDF]
Meliani M +3 more
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Behavior-aware energy management in microgrids using quantum-classical hybrid algorithms under social and demand dynamics. [PDF]
Minghong L +6 more
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Fuzzy-Adaptive ESO Control for Dual Active Bridge Converters. [PDF]
Seo JH, Choi SJ.
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Error minimized LO modeling of electric vehicle integrated off-grid microgrids using Taylor-Laurent series expansion and BBO based optimization under stability and steady state constraints. [PDF]
Chaudhary R +3 more
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Enhanced power management in PV-Integrated hybrid energy storage systems using fuzzy 2DOF-PI control optimized by hippopotamus algorithm. [PDF]
Kotb H +3 more
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A hierarchical fusion framework for vehicle to grid energy management using predictive intelligence and learning based pricing. [PDF]
Nandagopal V +5 more
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Techno-economic analysis and resilience enhancement of a hospital microgrid under grid outage scenarios. [PDF]
Eissa MA, Samy MM, Said M.
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions. [PDF]
Hosseina M, Moghaddam MS, Hassannia A.
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Microgrids space applications: A comprehensive review and future trends
Applied EnergyPower system development has become a significant concern as space agencies and commercial fir ms aim to construct permanent human settlements beyond earth and explore space with ambitious ambitions. Microgrids (MGs) have become a potential solution to meet the specific power requirements of space applications due to their flexibility, modularity, and ...
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