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This book presents an innovative approach to the optimal design and operation of microgrids, addressing challenges in integrating distributed energy resources. It introduces a two-stage process combining performance and economic modeling with advanced forecasting using LSTM neural networks. Featuring a double-layer operating strategy and detailed case studies, the book demonstrates how to enhance microgrid reliability, economic viability, and renewable energy penetration. This work provides actionable insights for researchers, engineers, and policymakers in advancing sustainable energy systems.
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This book presents an innovative approach to the optimal design and operation of microgrids, addressing challenges in integrating distributed energy resources. It introduces a two-stage process combining performance and economic modeling with advanced forecasting using LSTM neural networks. Featuring a double-layer operating strategy and detailed case studies, the book demonstrates how to enhance microgrid reliability, economic viability, and renewable energy penetration. This work provides actionable insights for researchers, engineers, and policymakers in advancing sustainable energy systems.