Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Smart Technologies for Engineers and Scientists
Release date:	September 2023
First published:	2024
Editors:	Arpit Jain • Abhinav Sharma • Vibhu Jately • Brian Azzopardi
Dimensions:	234 x 156mm (L x W)
Pages:	186
ISBN-13:	978-1-03-239275-2
Categories:	Books
LSN:	1-03-239275-4
Barcode:	9781032392752

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