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Advances of Artificial Intelligence in a Green Energy Environment by Pandian Vasant

Advances of Artificial Intelligence in a Green Energy Environment

by Pandian Vasant
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Book cover type: Paperback
  • ISBN13: 9780323897853
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Academic Press
  • Publisher Imprint: Academic Press
  • Publication Date:
  • Pages: 414
  • Original Price: USD 165.0
  • Language: English
  • Edition: N/A
  • Item Weight: 549 grams
  • BISAC Subject(s): Energy, Power Resources / Alternative & Renewable, and Artificial Intelligence / General

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.

Munapo, Elias: - 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

Thomas, Joshua: - 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.

Vasant, Pandian: - 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.

Weber, Gerhard-Wilhelm: - 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.

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