Artificial Neural Network and its Applications in the Energy Sector – An Overview

Babatunde, Damilola Elizabeth and Anozie, Ambrose Nwora and Omoleye, James (2020) Artificial Neural Network and its Applications in the Energy Sector – An Overview. International Journal of Energy Economics and Policy, 10 (2). pp. 250-264. ISSN 2146-4553

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Abstract

In order to realize the goal of optimal use of energy sources and cleaner environment at a minimal cost, researchers; field professionals; and industrialists have identified the expediency of harnessing the computational benefits provided by artificial intelligence (AI) techniques. This article provides an overview of AI, chronological blueprints of the emergence of artificial neural networks (ANNs) and some of its applications in the energy sector. This short survey reveals that despite the initial hiccups at the developmental stages of ANNs, ANN has tremendously evolved, is still evolving and have been found to be effective in handling highly complex problems even in the areas of modeling, control, and optimization, to mention a few.

Item Type:	Article
Uncontrolled Keywords:	Artificial Neural Networks, Energy Sector, Optimization
Subjects:	T Technology > T Technology (General) T Technology > TP Chemical technology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	05 Jun 2020 08:40
Last Modified:	05 Jun 2020 08:40
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/13366

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