Description
Pioneering Approaches in Intelligence, Optimization, and Viability for Renewable Energy Development brings together key advances that are driving growth and development across the renewable energy sector. Innovative areas covered include machine learning, cutting-edge optimization techniques, artificial intelligence, environmental protection, economic viability, integration of blockchain technology, forecasting and predictive analytics, resilience and reliability, and energy storage systems. This book will be of interest to all those looking to understand and implement advanced techniques for renewable energy development, including researchers, advanced students, faculty, engineers, R&D, other industry professionals, and policy makers.- Explores state-of-the-art approaches for optimization, forecasting and predictive analytics, and resilience and reliability- Examines the role of artificial intelligence, machine learning, and blockchain technology in renewable energy- Covers key areas such as environmental protection, economic viability, and energy storage
Table of Contents
1. Machine learning in the renewable energy sector2. Optimization techniques in the renewable energy sector3. Role of artificial intelligence in the renewable energy sector4. Environmental protection with the renewable energy sector5. Economic viability of the renewable energy sectors in developing countries6. Recent trends in renewable energy management with integrated AI and blockchain7. Forecasting and predictive analytics for renewable energy integration using machine learning or deep learning techniques8. Resilience and reliability in renewable energy systems9. Recent innovations in energy storage system solutions for renewable integration10. Future trends and emerging technologies in the renewable energy sector
