Computer Vision and Machine Intelligence for Renewable Energy Systems

By: Abhishek Kumar (Editor), Vicente Garcia-Diaz (Editor), Umesh Chandra Pati (Editor), Fausto Pedro Garcia Marquez (Editor), Ashutosh Kumar Dubey (Editor)

Write A Review

Paperback | 25 September 2024 | Edition Number 1

At a Glance

Paperback
300 Pages

Dimensions(cm)
22.86 x 15.24

Paperback

RRP $336.95

$289.75

14%OFF

or 4 interest-free payments of $72.44 with

or

In Stock and Ships in 1-2 business days

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 Elsevierâs 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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.