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Advanced methods for processing and ...

Abdul Karim, Samsul Ariffin.

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Advanced methods for processing and visualizing the renewable energy = a new perspective from signal to image recognition /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced methods for processing and visualizing the renewable energy/ edited by Samsul Ariffin Abdul Karim, Nordin Saad, Ramani Kannan.
其他題名:	a new perspective from signal to image recognition /
其他作者:	Abdul Karim, Samsul Ariffin.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xiii, 149 p. :ill., digital ;24 cm.
內容註:	Rational Quartic Spline Interpolation and Its Application in Signal Processing -- A Controller for Natural Gas Fuel Dispenser with Multi-level-pressure Banks -- Power Performance Analysis of Solar Tracking System in UTP -- Artificial Neural Network and Mathematical Modeling of Enhanced Oil Recovery Using Nanoparticles -- Viable Options and Opportunities for Energy Saving in a Distribution System towards Sustainability: Taylor's University as the Case -- Viable Options and Opportunities for Energy Saving in a Distribution System towards Sustainability: Taylor's University as the Case -- Construction and Application of Septic B-spline Tensor Product Scheme -- Bayes meets Tikhonov: Understanding Uncertainty within Gaussian Framework for Seismic Inversion.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources - Simulation methods. -
電子資源:	https://doi.org/10.1007/978-981-15-8606-4
ISBN:	9789811586064

Advanced methods for processing and visualizing the renewable energy = a new perspective from signal to image recognition /
Advanced methods for processing and visualizing the renewable energya new perspective from signal to image recognition /[electronic resource] :edited by Samsul Ariffin Abdul Karim, Nordin Saad, Ramani Kannan. - Singapore :Springer Singapore :2021. - xiii, 149 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.3202198-4182 ;. - Studies in systems, decision and control ;v.320..

Rational Quartic Spline Interpolation and Its Application in Signal Processing -- A Controller for Natural Gas Fuel Dispenser with Multi-level-pressure Banks -- Power Performance Analysis of Solar Tracking System in UTP -- Artificial Neural Network and Mathematical Modeling of Enhanced Oil Recovery Using Nanoparticles -- Viable Options and Opportunities for Energy Saving in a Distribution System towards Sustainability: Taylor's University as the Case -- Viable Options and Opportunities for Energy Saving in a Distribution System towards Sustainability: Taylor's University as the Case -- Construction and Application of Septic B-spline Tensor Product Scheme -- Bayes meets Tikhonov: Understanding Uncertainty within Gaussian Framework for Seismic Inversion.

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.

ISBN: 9789811586064

Standard No.: 10.1007/978-981-15-8606-4doiSubjects--Topical Terms:

3487043
Renewable energy sources
--Simulation methods.

LC Class. No.: TJ808 / .A38 2021

Dewey Class. No.: 333.79

Advanced methods for processing and visualizing the renewable energy = a new perspective from signal to image recognition /
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