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Application of Quantum Computing in Power Systems

Author

Listed:
  • Fang Gao

    (School of Electrical Engineering, Guangxi University, Nanning 530004, China)

  • Guojian Wu

    (School of Electrical Engineering, Guangxi University, Nanning 530004, China)

Abstract

Due to continuous expansion, the current interconnected power system is the largest and most complex man-made dynamic system on the planet [...]

Suggested Citation

  • Fang Gao & Guojian Wu, 2023. "Application of Quantum Computing in Power Systems," Energies, MDPI, vol. 16(5), pages 1-3, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2240-:d:1080743
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    References listed on IDEAS

    as
    1. Songyao Wang & Zhisheng Zhang, 2021. "Short-Term Multiple Load Forecasting Model of Regional Integrated Energy System Based on QWGRU-MTL," Energies, MDPI, vol. 14(20), pages 1-13, October.
    2. Camila Correa-Jullian & Sergio Cofre-Martel & Gabriel San Martin & Enrique Lopez Droguett & Gustavo de Novaes Pires Leite & Alexandre Costa, 2022. "Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection," Energies, MDPI, vol. 15(8), pages 1-29, April.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Mahmoud Kiasari & Mahdi Ghaffari & Hamed H. Aly, 2024. "A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems," Energies, MDPI, vol. 17(16), pages 1-38, August.

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