Springer Advanced Methods for Processing and Visualizing the Renewable Energy: A New Perspective from Signal to Image Recognition: 320 (Studies in Systems, Decision and Control, 320)

Product Description This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques. From the Back Cover This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the field of renewable energy and optimization techniques. About the Author Samsul Ariffin Abdul Karim is a Senior Lecturer at Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS (UTP), Malaysia. He has been in the department for more than eleven years. He obtained his B.App.Sc., M.Sc. and Ph.D. in Computational Mathematics & Computer Aided Geometric Design (CAGD) from Universiti Sains Malaysia (USM). He had 20 years of experience using Mathematica and MATLAB software for teaching and research activities. His research interests include curves and surfaces designing, geometric modeling and wavelets applications in image compression and statistics. He has published more than 120 papers in journals and conferences as well as seven books including two research monographs and three edited conferences volume and 25 book chapters. He is the recipient of Effective Education Delivery Award and Publication Award (journal & conference paper), UTP Quality Day 2010, 2011 and 2012, respectively. He was certified WOLFRAM Technology Associate, Mathematica Student Level. He has published four books with Springer. Nordin Saad is currently an Associate Professor in the Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Malaysia. He obtained a B.Sc. degree in Electrical Engineering from Kansas State University USA, a M.Sc. in Power Electronics Engineering from Loughborough University UK, and a Ph.D. in Control and Systems Engineering from The University of Sheffield UK. He was the Head, Department of Electrical and Electronics Engineering at the current university from 1998 to 2000, having joined the university in 1997. He was appointed as Cluster Leader for the Industrial Automation and Control from 2005 to 2012 and subsequently Co-Cluster Leader for the Power-Control and Instrumentation from 2013 to 2014. Currently, He