Advances of Artificial Intelligence in a Green Energy Environment

Advances of Artificial Intelligence in a Green Energy Environment book cover

Advances of Artificial Intelligence in a Green Energy Environment

Author(s): Vasant (Editor), Thomas (Editor), Munapo (Editor), Weber (Editor)

  • Publisher: Academic Press
  • Publication Date: 24 May 2022
  • Edition: 1st
  • Language: English
  • Print length: 414 pages
  • ISBN-10: 0323897851
  • ISBN-13: 9780323897853

Book Description

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern.

Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy.

Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.

  • Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide
  • Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms
  • Includes flowchart diagrams for exampling optimizing techniques

Editorial Reviews

Review

Comprehensive handbook on intelligent optimization algorithms for uncertainty concerns in energy and the environment

From the Back Cover

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and artificial intelligence that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is major concern. Including artificial intelligence methodologies and applying advanced evolutionary algorithms to real world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI Methods and new opportunities in blockchain technology in smart energy. Covering state of the art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the artificial intelligence industry.

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