looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The main objectives of the book are to demonstrate how big data can help with energy efficiency, demand reduction, increase the usage of renewable energy sources, and assist in making the transition from a centralized system to a distributed, efficient, and embedded energy system. Contributions discuss and cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services systems and power generation systems. Chapters also look at renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. weiterlesen