Artificial intelligence and internet of things for renewable energy systems

Titel: Artificial intelligence and internet of things for renewable energy systems
verantwortlich: Priyadarshi, Neeraj (HerausgeberIn); Sanjeevikumar, Padmanaban (HerausgeberIn); Hiran, Kamal Kant (HerausgeberIn); Holm-Nielson, Jens Bo (HerausgeberIn); Bansal, Ramesh C. (HerausgeberIn); Bajaj, Simran (MitwirkendeR); Barik, Subrat Kumar (MitwirkendeR); Cheriyan, Elizabeth P (MitwirkendeR); Chinnasamy, Kathirvel (MitwirkendeR); Ganthia, Bibhu Prasad (MitwirkendeR); Ganvir, Shreyash (MitwirkendeR); Gavel, Mahendra (MitwirkendeR); Gunapriya, B (MitwirkendeR); Hoque, Emdadul (MitwirkendeR); Inbamani, Abinaya (MitwirkendeR); Karthik, M (MitwirkendeR); Koh, Jia Shun (MitwirkendeR); Koshy, Subin (MitwirkendeR); Kumar, S. Venkatesh (MitwirkendeR); Leong, Hungyang (MitwirkendeR); Lim, Wei Hong (MitwirkendeR); Mahesh, M (MitwirkendeR); Mehrotra, Amritansh (MitwirkendeR); Nayak, Byamakesh (MitwirkendeR); Rahul, S (MitwirkendeR); Rakshit, Dibakar (MitwirkendeR); RuiChoo, Zhang (MitwirkendeR); Saha, Dip Kumar (MitwirkendeR); Sahu, Swapnil (MitwirkendeR); Saini, Devender Kumar (MitwirkendeR); Singaravelan, A (MitwirkendeR); Singh, Varsha (MitwirkendeR); Sudhapriya, K (MitwirkendeR); Sunitha, R (MitwirkendeR); Tan, Rodney H. G (MitwirkendeR); Umapathy, Prabha (MitwirkendeR); Veerasamy, Veerapandiyan (MitwirkendeR); Yadav, Monika (MitwirkendeR); Walter de Gruyter GmbH & Co. KG (Verlag)
Schriftenreihe: De Gruyter Frontiers in Computational Intelligence ; 12
veröffentlicht: Berlin, Boston: De Gruyter, [2022]
[Online-Ausgabe]. :
Erscheinungsjahr: 2022
Teil von: De Gruyter Frontiers in Computational Intelligence ; 12
Erscheint auch als: Artificial intelligence and internet of things for renewable energy systems, Berlin : De Gruyter, 2022, 310 Seiten
Andere Ausgaben: Artificial intelligence and internet of things for renewable energy systems
Medientyp: E-Book
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245	1	0	\|a Artificial intelligence and internet of things for renewable energy systems \|c edited by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal
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520			\|a 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.
520			\|a 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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author2	Priyadarshi, Neeraj, Sanjeevikumar, Padmanaban, Hiran, Kamal Kant, Holm-Nielson, Jens Bo, Bansal, Ramesh C., Bajaj, Simran, Barik, Subrat Kumar, Cheriyan, Elizabeth P, Chinnasamy, Kathirvel, Ganthia, Bibhu Prasad, Ganvir, Shreyash, Gavel, Mahendra, Gunapriya, B, Hoque, Emdadul, Inbamani, Abinaya, Karthik, M, Koh, Jia Shun, Koshy, Subin, Kumar, S. Venkatesh, Leong, Hungyang, Lim, Wei Hong, Mahesh, M, Mehrotra, Amritansh, Nayak, Byamakesh, Rahul, S, Rakshit, Dibakar, RuiChoo, Zhang, Saha, Dip Kumar, Sahu, Swapnil, Saini, Devender Kumar, Singaravelan, A, Singh, Varsha, Sudhapriya, K, Sunitha, R, Tan, Rodney H. G, Umapathy, Prabha, Veerasamy, Veerapandiyan, Yadav, Monika
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contents	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., 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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id	183-1785764861
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imprint	Berlin, Boston, De Gruyter, [2022]
imprint_str_mv	Berlin; Boston: De Gruyter, [2022], [Online-Ausgabe]
institution	FID-BBI-DE-23
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isbn	9783110714043, 9783110714159
isbn_isn_mv	9783110713794, 3110713799
language	English
last_indexed	2024-05-07T18:58:34.98Z
marc024a_ct_mv	10.1515/9783110714043
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match_str	priyadarshi2022artificialintelligenceandinternetofthingsforrenewableenergysystems
mega_collection	K10plus Verbundkatalog
physical	1 Online-Ressource (VIII, 310 Seiten)
publishDate	[2022]
publishDateSort	2022
publishPlace	Berlin
publisher	De Gruyter
record_format	marcfinc
record_id	1785764861
recordtype	marcfinc
rvk_facet	ST 300, ST 301
rvk_label	Informatik, Monografien, Künstliche Intelligenz, Allgemeines, Soft computing, Neuronale Netze, Fuzzy-Systeme
rvk_path	ST, SQ - SU, ST 301, ST 300, ST 300 - ST 308
rvk_path_str_mv	ST, SQ - SU, ST 301, ST 300, ST 300 - ST 308
series2	De Gruyter Frontiers in Computational Intelligence ; 12
source_id	183
spelling	Artificial intelligence and internet of things for renewable energy systems edited by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal, Berlin Boston De Gruyter [2022], 1 Online-Ressource (VIII, 310 Seiten), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, De Gruyter Frontiers in Computational Intelligence 12, Restricted Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_16ec online access with authorization star, 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., 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, [Online-Ausgabe], Mode of access: Internet via World Wide Web., In English, COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content, s (DE-588)4014736-8 (DE-627)10633896X (DE-576)208909117 Energieversorgung gnd, s (DE-588)4068598-6 (DE-627)106105310 (DE-576)209174269 Erneuerbare Energien gnd, s (DE-588)7708028-2 (DE-627)631195475 (DE-576)325646856 Intelligentes Stromnetz gnd, s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd, s (DE-588)7713781-4 (DE-627)633870307 (DE-576)327984538 Internet der Dinge gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, DE-101, s (DE-588)4455833-8 (DE-627)229230849 (DE-576)212619101 Soft Computing gnd, (DE-627), Priyadarshi, Neeraj HerausgeberIn (DE-588)124767178X (DE-627)1782281983 edt, Sanjeevikumar, Padmanaban 1978- HerausgeberIn (DE-588)1220850691 (DE-627)1737968002 edt, Hiran, Kamal Kant HerausgeberIn (DE-588)1232423548 (DE-627)1756567263 edt, Holm-Nielson, Jens Bo HerausgeberIn (DE-588)1247672166 (DE-627)1782282653 edt, Bansal, Ramesh C. HerausgeberIn (DE-588)1243188707 (DE-627)1773841475 edt, Bajaj, Simran MitwirkendeR ctb, Barik, Subrat Kumar MitwirkendeR ctb, Cheriyan, Elizabeth P MitwirkendeR ctb, Chinnasamy, Kathirvel MitwirkendeR ctb, Ganthia, Bibhu Prasad MitwirkendeR ctb, Ganvir, Shreyash MitwirkendeR ctb, Gavel, Mahendra MitwirkendeR ctb, Gunapriya, B MitwirkendeR ctb, Hoque, Emdadul MitwirkendeR ctb, Inbamani, Abinaya MitwirkendeR ctb, Karthik, M MitwirkendeR ctb, Koh, Jia Shun MitwirkendeR ctb, Koshy, Subin MitwirkendeR ctb, Kumar, S. Venkatesh MitwirkendeR ctb, Leong, Hungyang MitwirkendeR ctb, Lim, Wei Hong MitwirkendeR ctb, Mahesh, M MitwirkendeR ctb, Mehrotra, Amritansh MitwirkendeR ctb, Nayak, Byamakesh MitwirkendeR ctb, Rahul, S MitwirkendeR ctb, Rakshit, Dibakar MitwirkendeR ctb, RuiChoo, Zhang MitwirkendeR ctb, Saha, Dip Kumar MitwirkendeR ctb, Sahu, Swapnil MitwirkendeR ctb, Saini, Devender Kumar MitwirkendeR ctb, Singaravelan, A MitwirkendeR ctb, Singh, Varsha MitwirkendeR ctb, Sudhapriya, K MitwirkendeR ctb, Sunitha, R MitwirkendeR ctb, Tan, Rodney H. G MitwirkendeR ctb, Umapathy, Prabha MitwirkendeR ctb, Veerasamy, Veerapandiyan MitwirkendeR ctb, Yadav, Monika MitwirkendeR ctb, Walter de Gruyter GmbH & Co. KG Verlag (DE-588)10095502-2 (DE-627)478082134 (DE-576)200141279 pbl, 9783110713794, Erscheint auch als Druckausgabe Artificial intelligence and internet of things for renewable energy systems Berlin : De Gruyter, 2022 310 Seiten (DE-627)1772091677 9783110713794 3110713799, https://doi.org/10.1515/9783110714043 X:GRUY Resolving-System lizenzpflichtig, https://www.degruyter.com/isbn/9783110714043 X:GRUY Verlag lizenzpflichtig, https://www.degruyter.com/document/cover/isbn/9783110714043/original X:GRUY Verlag Cover
spellingShingle	Artificial intelligence and internet of things for renewable energy systems, 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., 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, COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, Energieversorgung, Erneuerbare Energien, Intelligentes Stromnetz, Künstliche Intelligenz, Internet der Dinge, Maschinelles Lernen, Soft Computing
title	Artificial intelligence and internet of things for renewable energy systems
title_auth	Artificial intelligence and internet of things for renewable energy systems
title_full	Artificial intelligence and internet of things for renewable energy systems edited by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal
title_fullStr	Artificial intelligence and internet of things for renewable energy systems edited by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal
title_full_unstemmed	Artificial intelligence and internet of things for renewable energy systems edited by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal
title_short	Artificial intelligence and internet of things for renewable energy systems
title_sort	artificial intelligence and internet of things for renewable energy systems
title_unstemmed	Artificial intelligence and internet of things for renewable energy systems
topic	COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, Energieversorgung, Erneuerbare Energien, Intelligentes Stromnetz, Künstliche Intelligenz, Internet der Dinge, Maschinelles Lernen, Soft Computing
topic_facet	COMPUTERS / Intelligence (AI) & Semantics, Aufsatzsammlung, Energieversorgung, Erneuerbare Energien, Intelligentes Stromnetz, Künstliche Intelligenz, Internet der Dinge, Maschinelles Lernen, Soft Computing
url	https://doi.org/10.1515/9783110714043, https://www.degruyter.com/isbn/9783110714043, https://www.degruyter.com/document/cover/isbn/9783110714043/original
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