AI in renewable energy: A review of predictive maintenance and energy optimization

Applied Science Private University · Film Independent

Indexed incrossref

Abstract

In the dynamic landscape of the burgeoning renewable energy sector, optimizing energy output, ensuring robust infrastructure maintenance, and seamless integration into the grid present formidable challenges. This paper delves into the transformative potential of artificial intelligence (AI) as a solution to these critical issues. The focus of this study is on the current state of AI applications within the renewable energy domain, particularly honing in on its profound impact on predictive maintenance and energy optimization across diverse sources such as solar, wind, and hydro. By examining the underlying AI techniques employed in this context, the research seeks to unravel the intricacies of how AI…

Citation impact

107
total citations
FWCI
20.42
Percentile
100%
References
62
Citations per year

Authors

5

Topics & keywords

Keywords
  • Renewable energy
  • Energy (signal processing)
  • Predictive maintenance
  • Computer science
  • Environmental science
  • Reliability engineering
  • Engineering
  • Mathematics
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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