Artificial Intelligence Applications in Renewable Energy

Research output: NRELPresentation


Addressing new methodologies in deep learning (DL), machine learning (ML) and artificial intelligence (AI), the webinar speakers will provide an overview of the literature spanning these three overlapping fields as applied to energy systems research. The audience will learn how developments in these areas have added new capabilities for pattern recognition and predictive modeling that are complementary to more traditional modeling approaches used in energy systems research. The speakers will illustrate several use cases of these new approaches in the energy space, such as physics-guided neural networks to improve ML regressions for solar data and how AI agents can be used to explore power plant operations.
Original languageAmerican English
Number of pages34
StatePublished - 2020

Publication series

NamePresented at the AI in Energy Webinar: Advancing New Research Paradigms, 17 August 2020

NREL Publication Number

  • NREL/PR-6A20-77593


  • artificial intelligence
  • machine learning
  • physics-guided neural network


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