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.
- 1 online resource (VIII, 310 p.)
- De Gruyter Frontiers in Computational Intelligence , 12 2512-8868 ; .
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
restricted access 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.
Mode of access: Internet via World Wide Web.
In English.
9783110714043
10.1515/9783110714043 doi
Energiesysteme.
Erneuerbare Energien.
Künstliche Intelligenz.
Maschinelles Lernen.
COMPUTERS / Intelligence (AI) & Semantics.
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
restricted access 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.
Mode of access: Internet via World Wide Web.
In English.
9783110714043
10.1515/9783110714043 doi
Energiesysteme.
Erneuerbare Energien.
Künstliche Intelligenz.
Maschinelles Lernen.
COMPUTERS / Intelligence (AI) & Semantics.