AI-Powered IoT in the Energy Industry - Digital Technology and Sustainable Energy Systems (Hardcover, 1st ed. 2023)

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. Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Power Systems
Release date:	March 2023
First published:	2024
Editors:	S. Vijayalakshmi • Savita Dahiya • Balamurugan Balusamy • Rajesh Kumar Dhanaraj
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	401
Edition:	1st ed. 2023
ISBN-13:	978-3-03-115043-2
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Computer hardware & operating systems > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-115043-0
Barcode:	9783031150432

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