Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources
Language: English
Published by Notion Press, 2024
- Softcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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In English.
Seller Inventory # ria9798896101857_new
- Title
- Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources
- Author
- Dr. Kumar K
- Publisher
- Notion Press
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798896101857
- Item weight
- 316 grams
Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources explores how AI techniques enhance renewable energy systems through optimized power electronics. This essential guide introduces machine learning applications for improving control, predictive maintenance, and fault detection across renewable sources like solar and wind. With real-world case studies and practical insights, the book equips engineers, researchers, and students with tools to tackle challenges in renewable integration, power quality, and system reliability. An invaluable resource for both beginners and experts, this book sheds light on AI-driven innovations shaping a sustainable energy future.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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