Artificial Intelligence for Solar Photovoltaic Systems 1st Edition

Capture the future of renewable energy with Artificial Intelligence for Solar Photovoltaic Systems, 1st Edition by Bhavnesh Kumar. This authoritative guide blends cutting-edge AI techniques with practical solar PV applications, offering engineers, researchers, students, and industry professionals a clear pathway to smarter, more efficient systems.

Discover how machine learning transforms every stage of a PV project — from accurate energy-yield forecasting and fault detection to performance optimization and predictive maintenance. Real-world case studies and algorithmic explanations make complex topics accessible, while clear illustrations and step-by-step workflows help you apply solutions on rooftop arrays, utility-scale farms, and microgrids. Whether you work in India’s fast-growing solar sector, Europe’s grid modernization projects, or emerging markets across Asia and Africa, this book provides geographically relevant strategies for maximizing return on investment and improving system resilience.

Written with practical insight and technical rigor, Bhavnesh Kumar’’s book balances theory and hands-on application: data preprocessing, model selection, feature engineering, and deployment considerations are presented with professional clarity. Learn to reduce downtime, improve forecasting accuracy, and integrate AI-driven controls with confidence.

If you’re seeking a reliable reference that bridges academia and industry, this volume is an essential addition to your library. Empower your projects with intelligent PV solutions—add Artificial Intelligence for Solar Photovoltaic Systems to your collection today and lead the transition to smarter, cleaner energy.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.