reviewSustainabilityApr 18, 2022GOLD OA

Machine Learning and Deep Learning in Energy Systems: A Review

Iran University of Science and Technology · University of Tehran

Indexed incrossrefdoaj

Abstract

With population increases and a vital need for energy, energy systems play an important and decisive role in all of the sectors of society. To accelerate the process and improve the methods of responding to this increase in energy demand, the use of models and algorithms based on artificial intelligence has become common and mandatory. In the present study, a comprehensive and detailed study has been conducted on the methods and applications of Machine Learning (ML) and Deep Learning (DL), which are the newest and most practical models based on Artificial Intelligence (AI) for use in energy systems. It should be noted that due to the development of DL algorithms, which are usually more accurate and less error,…

Citation impact

303
total citations
FWCI
24.19
Percentile
100%
References
289
Citations per year

Authors

4

Topics & keywords

Keywords
  • Artificial intelligence
  • Machine learning
  • Computer science
  • Field (mathematics)
  • Deep learning
  • Energy (signal processing)
  • Process (computing)
  • Population
UN Sustainable Development Goals
  • Affordable and clean energy
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