Advanced Methods for Processing and Visualizing the Renewable Energy - A New Perspective from Signal to Image Recognition (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Systems, Decision and Control, 320
Release date:	May 2022
First published:	2021
Editors:	Samsul Ariffin Abdul Karim • Nordin Saad • Ramani Kannan
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	149
Edition:	1st ed. 2021
ISBN-13:	978-981-15-8608-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-15-8608-X
Barcode:	9789811586088

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