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Energy-Efficient Optimal Scheduling of Renewable Energy Sources in Power Systems Using Genetic Algorithms and Support Vector Machines

Abstract As global energy demand is on the rise and so is the need for sustainable solutions, it has become imperative for RES scheduling to ensure grid reliability, minimize operation costs, and de-fossilize sources. This paper proposes a combined hybrid approach in using genetic algorithm (GA) to...

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Autori principali: Suresh Ramayanam, P. Ravi Kumar, S. Kalaimagal, V. Diana Earshia, G. Gabriel Santhosh Kumar, D. C. Jullie Josephine, Jorair Ahmad
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer 2025-11-01
Serie:International Journal of Computational Intelligence Systems
Soggetti:
Renewable energy integration
Optimal scheduling
Genetic algorithm
Support vector machines
Power systems
Energy efficiency and sustainability
Accesso online:https://doi.org/10.1007/s44196-025-01045-6
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