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2198-4182 g to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.978-3-030-34052-0978-3-030-34050-6Series ISSN 2198-4182 Series E-ISSN 2198-4190离开就切除 发表于 2025-3-25 18:43:22
978-3-030-34052-0Springer Nature Switzerland AG 2020暂时中止 发表于 2025-3-25 23:49:08
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https://doi.org/10.1007/978-3-030-34050-6Power Systems; Optimal Planning; Power Systems Control; Smart Grids; Power Flow繁重 发表于 2025-3-26 12:57:39
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Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study,h of IEEE 30-bus test system. Then, results of MOICA are compared with those derived by non-dominated sorting genetic algorithm and multi-objective particle swarm optimizer. The finding indicates that MOICA exhibits better performance.