Renewable energy systems, including solar, wind, biodiesel, hybrid energy and other relevant types, have numerous advantages compared to their conventional counterparts. These advantages are facilitated by the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book.
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