Artificial Neural Networks for Renewable Energy Systems and Real World Applications

  • Author : Ammar Hamed Elsheikh
  • Publsiher : Academic Press
  • Release : 01 June 2021
  • ISBN : 9780128231869
  • Page : 500 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Artificial Neural Networks for Renewable Energy Systems and Real World Applications written by Ammar Hamed Elsheikh and published by Academic Press. This book was released on 01 June 2021 with total page 500 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modelling, analysis, and optimization of different energy systems and manufacturing processes. The applications of Artificial Neural Networks (ANN) in different engineering disciplines have attracted the attention of researchers to solve complex engineering problems that cannot be solved through conventional methods. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy system and manufacturing process analysis. Includes illustrative examples of the design and development of ANNS for renewable and manufacturing applications Features computer aided simulations, presented as algorithms, pseudocodes, and flowcharts Covers ANN theory for easy reference in subsequent technology specific sections

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