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A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

Author

Listed:
  • Varaha Satra Bharath Kurukuru

    (Advance Power Electronics Research Lab, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Ahteshamul Haque

    (Advance Power Electronics Research Lab, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Mohammed Ali Khan

    (Advance Power Electronics Research Lab, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Subham Sahoo

    (AAU Energy, Department of Energy Technology, Aalborg University, 9220 Aalborg Øst, Denmark)

  • Azra Malik

    (Advance Power Electronics Research Lab, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Frede Blaabjerg

    (AAU Energy, Department of Energy Technology, Aalborg University, 9220 Aalborg Øst, Denmark)

Abstract

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inaccurate results. Further, the use of AI to perform these tasks achieved a higher degree of accuracy and precision and is now a highly interesting topic. In this context, this paper aims to investigate how AI techniques impact the PV value chain. The investigation consists of mapping the currently available AI technologies, identifying possible future uses of AI, and also quantifying their advantages and disadvantages in regard to the conventional mechanisms.

Suggested Citation

  • Varaha Satra Bharath Kurukuru & Ahteshamul Haque & Mohammed Ali Khan & Subham Sahoo & Azra Malik & Frede Blaabjerg, 2021. "A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 14(15), pages 1-35, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4690-:d:607200
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