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Elsevier

Advances of Artificial Intelligence in a Green Energy Environment

  • 1st Edition - May 20, 2022
  • Latest edition
  • Editors: Pandian Vasant, Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber
  • Language: English

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… Read more

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.

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

Readership

Primary market/audience (and market size, if known) :

Engineers, Scientists, Academicians, Researchers, Students, University officers, Governmental decision makers

Secondary market/audience:

Technicians, Research Officers, Post-Graduates, Under-Graduates, Policy Makers

Table of contents

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

2. Disasters impact assessment based on socioeconomic approach

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

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

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

6. Comparison of open access multiobjective optimization software tools for standalone hybrid renewable energy systems

7. Optimization of the process of anaerobic processing of organic waste in biogas plants through the use of a vortex layer apparatus

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

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

10. Human paradigm and reliability for aggregate production planning under uncertainty

11. Artificial intelligenceebased intelligent geospatial analysis in disaster management

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

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

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

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

16. Optimized designing spherical void structures in 3D domains

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

Product details

  • Edition: 1
  • Latest edition
  • Published: May 24, 2022
  • Language: English

About the editors

PV

Pandian Vasant

Pandian Vasant is a Research Associate at MERLIN Research Centre, TDTU in Vietnam. He holds a PhD in Computational Intelligence, an MSc in Engineering Mathematics, and a BSc in Mathematics. His research interests include soft computing, hybrid optimization, holistic optimization, innovative computing, and applications.
Affiliations and expertise
Research Associate at MERLIN Research Centre, TDTU in Vietnam

JT

Joshua Thomas

J. Joshua Thomas is an Associate Professor at UOW Malaysia KDU Penang University College. He obtained his PhD (Intelligent Systems Techniques) from University Sains Malaysia, Penang, and master’s degree from Madurai Kamaraj University, India. He is working with deep learning algorithms, specially targeting on graph convolutional neural networks and bidirectional recurrent neural networks for drug target interaction and image tagging with embedded natural language processing. His work involves experimental research with software prototypes and mathematical modeling and design.
Affiliations and expertise
Associate Professor, UOW Malaysia KDU Penang University College, Malaysia

EM

Elias Munapo

Elias Munapo holds a BSc in Applied Mathematics, an MSc in Operations Research, and a PhD in Applied Mathematics, all from the National University of Science and Technology (N.U.S.T.) in Zimbabwe. Elias has vast experience in university education and has worked for five institutions of higher learning. He was a lecturer at Zimbabwe Open University, Chinhoyi University of Technology, and University of South Africa. He became a Senior Lecturer at the University of KwaZulu-Natal and then joined North West University as an Associate Professor in 2016 and has been appointed as a Professor since January 2019.rofessor
Affiliations and expertise
Professor, North West University, South Africa

GW

Gerhard-Wilhelm Weber

Gerhard-Wilhelm Weber is a Professor at Poznan University of Technology, Poznan, Poland, at Faculty of Engineering Management, in the Chair of Marketing and Economic Engineering. His research is on data mining, analytics, AI, machine learning, mathematics, operational research, finance, economics, optimization and optimal control, neuro-, bio-, and earth sciences, medicine, and development; he is involved in the organization of scientific life internationally.
Affiliations and expertise
Professor, Poznan University of Technology, Poland

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