Ashutosh Kumar Dubey & Vicente Garcia-Diaz 
Computer Vision and Machine Intelligence for Renewable Energy Systems [EPUB ebook] 

支持

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. – Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems- Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications- Includes dedicated chapters with case studies and applications for each sustainable energy source

€192.57
支付方式
购买此电子书可免费获赠一本!
语言 英语 ● 格式 EPUB ● ISBN 9780443289484 ● 编辑 Ashutosh Kumar Dubey & Vicente Garcia-Diaz ● 出版者 Elsevier Science ● 发布时间 2024 ● 下载 3 时 ● 货币 EUR ● ID 9960870 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器

来自同一作者的更多电子书 / 编辑

9,787 此类电子书