ENGLISH

Artificial Intelligence and Internet of Things for Renewable Energy Systems

By Kamal Kant Hiran , Sanjeevikumar Padmanaban , Ramesh C. Bansal , Neeraj Priyadarshi , Jens Bo Holm-Nielson

Book information

Publisher
de Gruyter
Year
2021
ISBN
3110713799, 9783110713794
Language
english
Format
PDF
Filesize
353 MB (370358738 bytes)
Series
De Gruyter Frontiers in Computational Intelligence, 12
Pages
320\320
Time added
2022-10-20 22:51:24

Description

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems. Preface Contents 1 Artificial intelligence and Internet of things for renewable energy systems 2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller 3 An IoT-based approach for efficient home automation 4 Design and implementation of IoT-enabled smart single-phase energy meter monitoring system 5 Internet of things (IoT)-based smart grids 6 Maximum power point tracking control under partial shading conditions using particle swarm optimization algorithm 7 Wireless monitoring of substation using IoT 8 Smart grid–based big data analytics using machine learning and artificial intelligence: a survey 9 IoT-based intelligent solar energyharvesting technique with improved efficiency Editor’s Brief Biographies Index

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