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AI-powered IoT in the energy industrydigital technology and sustainable energy systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-powered IoT in the energy industryedited by S. Vijayalakshmi ... [et al.].
Reminder of title:	digital technology and sustainable energy systems /
other author:	Vijayalakshmi, S.
Published:	Cham :Springer International Publishing :2023.
Description:	xiv, 311 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Renewable energy sourcesTechnological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-15044-9
ISBN:	9783031150449$q(electronic bk.)

AI-powered IoT in the energy industrydigital technology and sustainable energy systems /
AI-powered IoT in the energy industrydigital technology and sustainable energy systems /[electronic resource] :edited by S. Vijayalakshmi ... [et al.]. - Cham :Springer International Publishing :2023. - xiv, 311 p. :ill., digital ;24 cm. - Power systems,1860-4676. - Power systems..

AI and ML Towards Sustainable Solar Energy -- AI and Intermittency Management of Renewable Energy -- AI Impact on Energy and Utilities -- Energy Intelligence - The Smart Grid Perspective -- IoT Towards Leveraging Renewable Energy -- IoT Contribution in Construct of Green Energy -- IoT, Smart Grids, and Big Data - Renewable Energy Insights -- IoT Infrastructure to Energize Electromobility -- Building Sustainable Charging Infrastructure - Smart Solutions -- Biomass Renewable Energy: Introduction and Application of AI and IoT -- Modernization of Rural Electric Infrastructure -- AI and IoT in Improving Resilience of Smart Energy Infrastructure -- Empowering Renewable Energy Using Internet of Things -- Role of Artificial Intelligence in Renewable Energy -- IoT and Sustainable Energy System: Risk and Opportunity -- Powering the Geothermal Energy with AI, IoT, and ML.

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.

ISBN: 9783031150449$q(electronic bk.)

Standard No.: 10.1007/978-3-031-15044-9doiSubjects--Topical Terms:

530862
Renewable energy sources
--Technological innovations.

LC Class. No.: TJ808

Dewey Class. No.: 621.042028563

AI-powered IoT in the energy industrydigital technology and sustainable energy systems /
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