Elsevier - Health Sciences Division - Computer Vision And Machine Intelligence For Renewable Energy Systems - Paperback

Binding: Paperback
Description: Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical systemic guide to the use of computer vision as an innovative tool to support renewable energy integration. This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs speed and accuracy even with partial data. Part II breaks down specific techniques including those for predictive modeling performance prediction market models and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting - edge new series Advances in Intelligent Energy Systems Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic clear introduction to this promising strategy for control and reliability in renewable energy grids.
Title: Computer Vision And Machine Intelligence For Renewable Energy Systems
Brand: Elsevier - Health Sciences Division
Barcode: 9780443289477
Pages: 300 Pages
Publication Date: 9/25/2024
Series: Advances in Intelligent Energy Systems
Category: Electric Motors