Springer Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Second International Conference, MMCITRE 2021: ... in Intelligent Systems and Computing, 1405)

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy. From the Back Cover This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy. About the Author Manoj Sahni is working as Associate Professor and Head at the Department of Mathematics, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. He has more than 17 years of teaching and research experience. He holds a M.Sc. degree in Mathematics from Dayalbagh Educational Institute (Deemed University), Agra, M.Phil. from IIT Roorkee, and a Ph.D. degree in Mathematics from Jaypee Institute of Information Technology (Deemed University), Noida, India. He has published more than 60 research papers in peer-reviewed journals, conference proceedings, and chapters with reputed publishers like Springer, Elsevier, etc. He also serves as Reviewer for many international journals of repute. He has conducted the 1st International Conference on Mathematical Modeling, Computational Techniques, and Renewable Energy on February 21–23, 2020. He has contributed to the scientific committee of several conferences and associations. He has delivered many expert talks at the national and international level. He has organized many seminars, workshops, and short-term training programs at PDEU and various other universities. He has also organized special Symposia in an International Conference (AMACS2018) on Fuzzy Set Theory: New Developments and Applications to Real-Life Problems held at London in 2018. He is Member of many international professional societies, including the American Mathematical Society, Forum for Interdisciplinary Mathematics, Indian Mathematical Society, IAENG, and many more.   José M. Merigó is Professor at the School of Information, Systems & Modeling at the Faculty of Engineering and Information Technology at the University of Technology Sydney (Australia) and Part-Time Full Professor at the Department of Management Control and Information Systems at the School of Economics and Business at the University of Chile. Previously, he was Senior Research Fellow at the Manchester Business School, University of Manchester (UK), and Assistant Professor at the Department of Business Administration at the University of Barcelona (Spain). He holds a Master and a Ph.D. degree in Business Administration from the University of Barcelona. He also holds a B.Sc. and M.Sc. degree from Lund University (Sweden). He has published more than 500 articles in journals, books, and conference proceedings, including journals such as Information Sciences, IEEE Computational Intelligence Magaz