Two-part structure for generation and load forecasting provides a complete overview of renewable energy integration
Explores artificial intelligence, machine learning, and hybrid techniques for accurate predictions
Includes theory, algorithms, simulations, and case studies for practical understanding
Covers distributed generation systems and future microgrids for up-to-date knowledge
Written by experts in the field for reliable academic reference
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Lecture Notes in Electrical Engineering Tomar, Anuradha; Gaur, Prerna; Jin, Xiaolong This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the differe