Intelligent Automation in Renewable Energy
Abstract
After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition.
The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
Recommended Citation
T. Baydyk et al., "Intelligent Automation in Renewable Energy," Computational Intelligence Methods and Applications, Springer International Publishing, Jan 2019.
The definitive version is available at https://doi.org/10.1007/978-3-030-02236-5
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
Artificial Intelligence
International Standard Book Number (ISBN)
978-3-030-02236-5
Document Type
Book
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Springer Nature Switzerland, All rights reserved.
Publication Date
01 Jan 2019
