Cover for Advances of Artificial Intelligence in a Green Energy Environment

Advances of Artificial Intelligence in a Green Energy Environment

Book2022

Edited by:

Pandian Vasant, Joshua Thomas, ... Gerhard-Wilhelm Weber

Advances of Artificial Intelligence in a Green Energy Environment

Book2022

 

Cover for Advances of Artificial Intelligence in a Green Energy Environment

Edited by:

Pandian Vasant, Joshua Thomas, ... Gerhard-Wilhelm Weber

About the book

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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 worl ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Application of some ways to intensify the process of anaerobic bioconversion of organic matter

    Andrey A. Kovalev, Dmitriy A. Kovalev, ... Alexander Makarov

    Pages 1-33

  3. Book chapterAbstract only

    Chapter 2 - Disasters impact assessment based on socioeconomic approach

    Igor Grebennik, Yevhen Hubarenko, ... Sergiy Shekhovtsov

    Pages 35-56

  4. Book chapterAbstract only

    Chapter 3 - Uninterruptible power supply system of the consumer, reducing peak network loads

    V.A. Gusarov, L. Yu Yuferev and O.F. Gusarova

    Pages 57-65

  5. Book chapterAbstract only

    Chapter 4 - Optimization of the anaerobic conversion of green biomass into volatile fatty acids for further production of high-calorie liquid fuel

    Marina A. Gladchenko and Sergey N. Gaydamaka

    Pages 67-82

  6. Book chapterAbstract only

    Chapter 5 - Life cycle cost and life cycle assessment: an approximation to understand the real impacts of the Electricity Supply Industry

    Joaquina Niembro-García, Patricia Alfaro-Martínez and Jose Antonio Marmolejo-Saucedo

    Pages 83-110

  7. Book chapterAbstract only

    Chapter 6 - Comparison of open access multi-objective optimization software tools for standalone hybrid renewable energy systems

    Mahesh Wagh, Purshottam Acharya and Vivek Kulkarni

    Pages 111-128

  8. Book chapterAbstract only

    Chapter 7 - Optimization of the organic waste anaerobic digestion in biogas plants through the use of a vortex layer apparatus

    Andrey A. Kovalev, Dmitriy A. Kovalev, ... Victor S. Grigoriev

    Pages 129-150

  9. Book chapterAbstract only

    Chapter 8 - Search of regularities in data: optimality, validity, and interpretability

    O.V. Senko, A.V. Kuznetsova, ... I.S. Litvinchev

    Pages 151-171

  10. Book chapterAbstract only

    Chapter 9 - Artificial intelligence techniques for modeling of wind energy harvesting systems: a comparative analysis

    Tigilu Mitiku Dinku and Mukhdeep Singh Manshahia

    Pages 173-192

  11. Book chapterAbstract only

    Chapter 10 - Human paradigm and reliability for aggregate production planning under uncertainty

    Selma Gütmen, Gerhard-Wilhelm Weber, ... Erfan Babaee Tirkolaee

    Pages 193-201

  12. Book chapterAbstract only

    Chapter 11 - Artificial intelligence–based intelligent geospatial analysis in disaster management

    R. Subhashini, J. Joshua Thomas, ... P. Asha

    Pages 203-221

  13. Book chapterAbstract only

    Chapter 12 - Optimizing the daily use of limited solar panels in closely located rural schools in Zimbabwe

    Elias Munapo

    Pages 223-243

  14. Book chapterAbstract only

    Chapter 13 - Review on recent implementations of multiobjective and multilevel optimization in sustainable energy economics

    Timothy Ganesan, Igor Litvinchev, ... Pandian Vasant

    Pages 245-277

  15. Book chapterAbstract only

    Chapter 14 - Hybrid optimization and artificial intelligence applied to energy systems: a review

    Gilberto Pérez Lechuga, Karla N. Madrid Fernández and Ugo Fiore

    Pages 279-299

  16. Book chapterAbstract only

    Chapter 15 - A brief literature review of quantitative models for sustainable supply chain management

    Pablo Flores-Sigüenza, Jose Antonio Marmolejo-Saucedo and Roman Rodríguez-Aguilar

    Pages 301-329

  17. Book chapterAbstract only

    Chapter 16 - Optimized designing spherical void structures in 3D domains

    Tatiana Romanova, Georgiy Yaskov, ... Pandian Vasant

    Pages 331-346

  18. Book chapterAbstract only

    Chapter 17 - Swarm-based intelligent strategies for charging plug-in hybrid electric vehicles

    Pandian Vasant, Anirban Banik, ... Mukhdeep Singh Manshahia

    Pages 347-374

  19. Book chapterNo access

    Index

    Pages 375-385

About the 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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-323-89785-3

Language

English

Published

2022

Copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Editors

Pandian Vasant

Research Associate at MERLIN Research Centre, TDTU, Vietnam

Joshua Thomas

Associate Professor, UOW Malaysia KDU Penang University College, Malaysia

Elias Munapo

Professor, North West University, South Africa

Gerhard-Wilhelm Weber

Professor, Poznan University of Technology, Poland