AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems 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 book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties.
| ISBN: | 9783031150463 |
| Publication date: | 7th April 2024 |
| Author: | S Vijayalakshmi, Savita Dahiya, Balamurugan Balusamy, Rajesh Kumar Dhanaraj |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 311 pages |
| Series: | Power Systems |
| Genres: |
Energy, power generation, distribution and storage Cybernetics and systems theory Electrical engineering Alternative and renewable energy sources and technology Electronics engineering |