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The document discusses genetic optimization techniques for the sizing and management of modern power systems, highlighting various heuristic methods such as genetic algorithms and particle swarm optimization. It covers the implementation of these techniques in renewable energy systems, forecasting, and the operation of electrical systems. The content is structured into chapters that include case studies, conclusions, and references to support the methodologies presented.
- Author
- ryattwelchubky
- Language
- EN