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文章基本信息

  • 标题:Artificial Neural Network and its Applications in the Energy Sector – An Overview
  • 本地全文:下载
  • 作者:Damilola Elizabeth Babatunde ; Ambrose Anozie ; James Omoleye
  • 期刊名称:International Journal of Energy Economics and Policy
  • 电子版ISSN:2146-4553
  • 出版年度:2020
  • 卷号:10
  • 期号:2
  • 页码:250-264
  • DOI:10.32479/ijeep.8691
  • 出版社:EconJournals
  • 摘要: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.
  • 关键词:artificial neural networks;energy sector;optimization
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