Integrating Artificial Intelligence Into The Energy Sector

Integrating Artificial Intelligence Into the Energy Sector

Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.

Integrating Artificial Intelligence Into the Energy Sector

Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data