Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources: Intelligent Algorithms for Efficient Energy Integra

Dr Kumar K, Dr Kumar K

ISBN 13: 9798896101857

Published by Notion Press, 2024

About this Item

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Bibliographic Details

• Title: Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources: Intelligent Algorithms for Efficient Energy Integra
• Publisher: Notion Press
• Publication Date: 2024
• Language: English
• ISBN 13: 9798896101857
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

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.