UID:
almahu_9949297135302882
Format:
1 online resource (VIII, 310 p.)
ISBN:
9783110714043
,
9783110754001
Series Statement:
De Gruyter Frontiers in Computational Intelligence , 12
Content:
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.
Note:
Frontmatter --
,
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
,
Mode of access: Internet via World Wide Web.
,
In English.
In:
EBOOK PACKAGE COMPLETE 2021 English, De Gruyter, 9783110754001
In:
EBOOK PACKAGE Engineering, Computer Sciences 2021 English, De Gruyter, 9783110754070
In:
EBOOK PACKAGE Engineering, Computer Sciences 2021, De Gruyter, 9783110753837
Additional Edition:
ISBN 9783110714159
Additional Edition:
ISBN 9783110713794
Language:
English
DOI:
10.1515/9783110714043
URL:
https://doi.org/10.1515/9783110714043
URL:
https://www.degruyter.com/isbn/9783110714043
URL:
https://doi.org/10.1515/9783110714043
URL:
https://www.degruyter.com/isbn/9783110714043
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