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.
About the Author
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.
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.
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
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.