Computer Vision and Machine Intelligence for Renewable Energy Systems 1st Edition

Computer Vision and Machine Intelligence for Renewable Energy Systems — 1st Edition by Ashutosh Kumar Dubey, Abhishek Kumar, Umesh Chandra Pati, Fausto Pedro Garcia Marquez, and Vicente Garcí — is a timely, practical guide that brings advanced image analytics and AI to the heart of clean energy innovation.

Capture attention with cutting‑edge techniques: this book translates deep learning, convolutional neural networks, transfer learning, and sensor fusion into actionable solutions for solar, wind, hydro, and smart grid projects. Richly illustrated and methodical, it explains how thermal imaging, UAV inspections, satellite remote sensing, and real‑time video analytics improve asset monitoring, fault detection, energy forecasting, and predictive maintenance.

Discover authoritative, application‑driven chapters that balance theory with real-world case studies from diverse geographies—solar farms in India, offshore wind in Europe, utility grids in North America, and urban microgrids across Asia—making the content GEO‑relevant and globally applicable. Practical code examples, evaluation metrics, and deployment strategies help engineers and researchers move from prototype to production with confidence.

Designed for professionals, researchers, graduate students, and policy makers, the book emphasizes scalable architectures, data management, and performance optimization for operating environments ranging from rural sites to smart cities. Whether you’re developing automated inspection workflows, improving energy yield forecasting, or integrating vision systems into SCADA and IoT platforms, this edition delivers clear, actionable guidance.

Elevate your renewable energy projects with proven machine intelligence approaches—get your copy of Computer Vision and Machine Intelligence for Renewable Energy Systems and start turning visual data into reliable, cost‑saving decisions today.

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