Artificial Intelligence and Internet of Things for Renewable Energy Systems
eBook - ePub

Artificial Intelligence and Internet of Things for Renewable Energy Systems

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

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Internet of Things for Renewable Energy Systems

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

Book details
Table of contents
Citations

About This Book

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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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 Ciencia de la computación & Inteligencia artificial (IA) y semántica. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2021
ISBN
9783110714159
Edition
1
Topic
Ciencia de la computación
Subtopic
Inteligencia artificial (IA) y semántica

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. 1 Artificial intelligence and Internet of things for renewable energy systems
  5. 2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller
  6. 3 An IoT-based approach for efficient home automation
  7. 4 Design and implementation of IoT-enabled smart single-phase energy meter monitoring system
  8. 5 Internet of things (IoT)-based smart grids
  9. 6 Maximum power point tracking control under partial shading conditions using particle swarm optimization algorithm
  10. 7 Wireless monitoring of substation using IoT
  11. 8 Smart grid–based big data analytics using machine learning and artificial intelligence: a survey
  12. 9 IoT-based intelligent solar energy-harvesting technique with improved efficiency
  13. Index
  14. De Gruyter Frontiers in Computational Intelligence Already published in the series
Citation styles for Artificial Intelligence and Internet of Things for Renewable Energy Systems

APA 6 Citation

[author missing]. (2021). Artificial Intelligence and Internet of Things for Renewable Energy Systems (1st ed.). De Gruyter. Retrieved from https://www.perlego.com/book/3264782/artificial-intelligence-and-internet-of-things-for-renewable-energy-systems-pdf (Original work published 2021)

Chicago Citation

[author missing]. (2021) 2021. Artificial Intelligence and Internet of Things for Renewable Energy Systems. 1st ed. De Gruyter. https://www.perlego.com/book/3264782/artificial-intelligence-and-internet-of-things-for-renewable-energy-systems-pdf.

Harvard Citation

[author missing] (2021) Artificial Intelligence and Internet of Things for Renewable Energy Systems. 1st edn. De Gruyter. Available at: https://www.perlego.com/book/3264782/artificial-intelligence-and-internet-of-things-for-renewable-energy-systems-pdf (Accessed: 15 October 2022).

MLA 7 Citation

[author missing]. Artificial Intelligence and Internet of Things for Renewable Energy Systems. 1st ed. De Gruyter, 2021. Web. 15 Oct. 2022.