ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: YANG Ting,ZHAO Liyuan,WANG Chengshan.Review on Application of Artificial Intelligence in Power System and Integrated Energy System[J].Automation of Electric Power Systems,2019,43(1):2-14. DOI: 10.7500/AEPS20180706005 copy

Review on Application of Artificial Intelligence in Power System and Integrated Energy System

  • Received Date: July 06, 2018
    Accepted Date: October 29, 2018
    Available Online: November 28, 2018

  • Abstract:

        In order to promote the energy production and consumption revolution and build a clean, low-carbon, secure and efficient energy system, it is necessary to develop a new generation of power system and integrated energy system which are more intelligent. Artificial intelligence is one of the most disruptive technologies in the world, which has strong processing ability in computational intelligence, perceptual intelligence and cognitive intelligence. The application of artificial intelligence in power system and integrated energy system will change the traditional utilization mode of energy and promote the further intellectualization of the system. The contents of this review are as follows: the summary of artificial intelligence, the demand for artificial intelligence in power system and integrated energy system, and the various applications of artificial intelligence in the energy field. Finally, the paper presents the future challenges and opportunities faced by the energy field in the era of artificial intelligence.


  • Keywords:

    artificial intelligence; power system; integrated energy system; machine learning


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