Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applications of Machine Learning in Power Electronics for Integration of Renewable Energy Sources: Intelligent Algorithms for Efficient Energy Integra

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

Dr Kumar K

Paperback

General Fiction

ISBN13: 9798896101857
Publisher: Notion Press
Published: Nov 4 2024
Pages: 74
Weight: 0.43
Height: 0.20 Width: 8.50 Depth: 11.00
Language: English

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.

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