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Artificial Intelligence and Internet of Things for Renewable Energy Systems / ed. by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal.

Contributor(s): Bajaj, Simran [contributor.] | Bansal, Ramesh C [editor.] | Barik, Subrat Kumar [contributor.] | Cheriyan, Elizabeth P [contributor.] | Chinnasamy, Kathirvel [contributor.] | Ganthia, Bibhu Prasad [contributor.] | Ganvir, Shreyash [contributor.] | Gavel, Mahendra [contributor.] | Gunapriya, B [contributor.] | Hiran, Kamal Kant [editor.] | Holm-Nielson, Jens Bo [editor.] | Hoque, Emdadul [contributor.] | Inbamani, Abinaya [contributor.] | Karthik, M [contributor.] | Koh, Jia Shun [contributor.] | Koshy, Subin [contributor.] | Kumar, S. Venkatesh [contributor.] | Leong, Hungyang [contributor.] | Lim, Wei Hong [contributor.] | Mahesh, M [contributor.] | Mehrotra, Amritansh [contributor.] | Nayak, Byamakesh [contributor.] | Padmanaban, Sanjeevikumar [editor.] | Priyadarshi, Neeraj [editor.] | Rahul, S [contributor.] | Rakshit, Dibakar [contributor.] | RuiChoo, Zhang [contributor.] | Saha, Dip Kumar [contributor.] | Sahu, Swapnil [contributor.] | Saini, Devender Kumar [contributor.] | Singaravelan, A [contributor.] | Singh, Varsha [contributor.] | Sudhapriya, K [contributor.] | Sunitha, R [contributor.] | Tan, Rodney H. G [contributor.] | Umapathy, Prabha [contributor.] | Veerasamy, Veerapandiyan [contributor.] | Yadav, Monika [contributor.].
Material type: materialTypeLabelBookSeries: De Gruyter Frontiers in Computational Intelligence , 12.Publisher: Berlin ; Boston : De Gruyter, [2021]Copyright date: ©2022Description: 1 online resource (VIII, 310 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110714043.Subject(s): Energiesysteme | Erneuerbare Energien | Künstliche Intelligenz | Maschinelles Lernen | COMPUTERS / Intelligence (AI) & SemanticsAdditional physical formats: No title; No titleOnline resources: Click here to access online | Click here to access online | Cover Issued also in print.
Contents:
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
Title is part of eBook package:DG Plus DeG Package 2022 Part 1Title is part of eBook package:EBOOK PACKAGE COMPLETE 2021 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2021Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2021 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2021Summary: 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.
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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

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http://purl.org/coar/access_right/c_16ec

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023)

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