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.