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.
eBook - ePub
Artificial Intelligence and Internet of Things for Renewable Energy Systems
- 318 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence and Internet of Things for Renewable Energy Systems
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Table of contents
- Title Page
- Copyright
- Contents
- 1âArtificial intelligence and Internet of things for renewable energy systems
- 2âPower control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller
- 3âAn IoT-based approach for efficient home automation
- 4âDesign and implementation of IoT-enabled smart single-phase energy meter monitoring system
- 5âInternet of things (IoT)-based smart grids
- 6âMaximum power point tracking control under partial shading conditions using particle swarm optimization algorithm
- 7âWireless monitoring of substation using IoT
- 8âSmart gridâbased big data analytics using machine learning and artificial intelligence: a survey
- 9âIoT-based intelligent solar energy-harvesting technique with improved efficiency
- Index
- De Gruyter Frontiers in Computational IntelligenceâAlready published in the series
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Yes, you can access Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal, Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.