Artificial Intelligence for Renewable Energy systems

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design INDICE: 1. Current State of energy systems2. Artificial Intelligence and Machine Learning implications to energy systems3. Weather forecasting using Artificial Intelligence4. Intelligent Energy storage5. Modelling and Simulation of Power Electronic Circuits6. Control methods in Renewable energy systems7. Role of Artificial Intelligence in Power Quality Management and Stability Analysis 8. Integration of microgrids9. Rooftop photovoltaic systems 10. Biomass and biogas 11. Renewable energy systems and technologies education12. Evolutionary Intelligence in Renewable energy13. Smart Energetic Management 14. RnE: Renewable Energetic Systems15. Energy efficient lighting systems16. Scope of Artificial Intelligence based solar energy system17. Role of Artificial Intelligence in environmental sustainability18. Integration of Artificial Intelligence with biomethanation19. Hybrid renewable energy system and Artificial Intelligence20. Renewable energy and sustainable developments

• ISBN: 978-0-323-90396-7
• Editorial: Woodhead Publishing
• Encuadernacion: Rústica
• Páginas: 500
• Fecha Publicación: 01/08/2022
• Nº Volúmenes: 1
• Idioma: Inglés