Renewable Energy for Sustainable Growth Assessment

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Renewable energy resources (RERs) are gaining more attention in academia and industry as one of the preferred choices of sustainable energy conversion. Due to global energy demand, environmental impacts, economic needs and social issues, RERs are encouraged and even funded by many governments around the world. Today, researchers are facing numerous challenges as this field emerges and develops, but, at the same time, new opportunities are waiting for RERs utilization in sustainable development all over the globe. Efficient energy conversion of solar, wind, biomass, fuel cells, and others techniques are gaining more popularity and are the future of energy. The present book cross-pollinates recent advances in the study of renewable energy for sustainable growth. Various applications of RERs, modeling and performance analysis, grid integration, soft computing, optimization, artificial intelligence (AI) as well as machine and deep learning aspects of RERs are extensively covered. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library.