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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.
- Format:
- Book
- Series:
- De Gruyter frontiers in computational intelligence
- De Gruyter Frontiers in Computational Intelligence Ser. ; v.12
- Language:
- English
- Subjects (All):
- Sustainable development.
- Machine learning.
- Artificial intelligence.
- Internet of things.
- Genre:
- Dictionaries.
- Physical Description:
- 1 online resource (VIII, 310 pages).
- Place of Publication:
- Berlin ; Boston : De Gruyter, [2021]
- Language Note:
- In English.
- System Details:
- text file PDF
- 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
- Notes:
- Electronic reproduction. Berlin Available via World Wide Web.
- Description based upon online resource; title from PDF title page (viewed December 10, 2021).
- Other Format:
- Print version: Artificial Intelligence and internet of things for renewable energy systems /.
- ISBN:
- 9783110714043
- 3110714043
- Publisher Number:
- 40030936600
- Access Restriction:
- Restricted for use by site license.
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