Litcius/Paper detail

ARTIFICIAL NEURAL NETWORK AND ITS APPLICATIONS IN THE ENERGY SECTOR – AN OVERVIEW

Damilola Elizabeth Babatunde, Ambrose N. Anozie, James A. Omoleye

2020International Journal of Energy Economics and Policy34 citationsDOIOpen Access PDF

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 techniques. This article provides an overview of artificial intelligence (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 artificial neural networks, 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. Keywords: artificial neural networks, energy sector, optimization JEL Classifications: Q4, P28 DOI: https://doi.org/10.32479/ijeep.8691

Topics & Concepts

Artificial neural networkBlueprintComputer scienceArtificial intelligenceField (mathematics)Energy (signal processing)Machine learningEngineeringMechanical engineeringMathematicsStatisticsPure mathematicsEnergy Load and Power ForecastingSolar Radiation and PhotovoltaicsOil and Gas Production Techniques