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© 2019

Intelligent Automation in Renewable Energy

Book

Table of contents

  1. Front Matter
    Pages i-xii
  2. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 1-11
  3. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 13-22
  4. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 23-43
  5. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 45-75
  6. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 77-111
  7. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 113-122
  8. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 123-159
  9. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 161-226
  10. Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II
    Pages 227-285

About this book

Introduction

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.

Keywords

Neural Network Classifiers Computational Intelligence Intelligent Automation Renewable Energy Solar Energy Green Energy

Authors and affiliations

  1. 1.Instituto de Ciencias Aplicadas y Tecnología (ICAT)Universidad Nacional Autónoma de México (UNAM)Mexico CityMexico
  2. 2.Instituto de Ciencias Aplicadas y Tecnología (ICAT)Universidad Nacional Autónoma de México (UNAM)Mexico CityMexico
  3. 3.Dept. of Electrical and Computer EngineeringMissouri University of Science and TechnologyRollaUSA

Bibliographic information

  • Book Title Intelligent Automation in Renewable Energy
  • Authors Tetyana Baydyk
    Ernst Kussul
    Donald C. Wunsch II
  • Series Title Computational Intelligence Methods and Applications
  • Series Abbreviated Title Computational Intelligence Methods and Applications
  • DOI https://doi.org/10.1007/978-3-030-02236-5
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-030-02235-8
  • eBook ISBN 978-3-030-02236-5
  • Series ISSN 2510-1765
  • Series E-ISSN 2510-1773
  • Edition Number 1
  • Number of Pages XII, 285
  • Number of Illustrations 131 b/w illustrations, 101 illustrations in colour
  • Topics Artificial Intelligence
    Computational Intelligence
    Renewable and Green Energy
  • Buy this book on publisher's site