Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on Electricity Price Risk Prediction and Settlement Monitoring Data System Based on Big Data Analysis in the Spot Market Environment

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342691,
        author={Xiaoqiang  Xue and Xiaolu  Wang and Shihua  Lu and Xinrui  Zhong},
        title={Research on Electricity Price Risk Prediction and Settlement Monitoring Data System Based on Big Data Analysis in the Spot Market Environment},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={spot market environment; big data analysis; electricity price risk forecast; settlement monitoring data; system research},
        doi={10.4108/eai.17-11-2023.2342691}
    }
    
  • Xiaoqiang Xue
    Xiaolu Wang
    Shihua Lu
    Xinrui Zhong
    Year: 2024
    Research on Electricity Price Risk Prediction and Settlement Monitoring Data System Based on Big Data Analysis in the Spot Market Environment
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342691
Xiaoqiang Xue1, Xiaolu Wang1, Shihua Lu1, Xinrui Zhong2,*
  • 1: Jibei Power Trading Center Co., Ltd.
  • 2: Beijing Qingneng Interconnect Technology Co., Ltd.
*Contact email: zhongxr@tsintergy.com

Abstract

Compared with the uncertainty in the production and use of electricity, the fluctuation of electricity spot market price is greater, and it is very difficult to master. Moreover, there is no effective way to predict the price risk, and then the price risk prediction and settlement monitoring have a greater correlation with the relevant participants in the market. At the same time, the reliable electricity price risk prediction and settlement monitoring data system is the basis of spot market operation and not only price risk control but also unbalanced settlement risk . Therefore, the study on electricity price risk prediction and settlement monitoring data system based on big data analysis in the spot market environment, firstly summarizes the method of electricity price risk prediction based on big data analysis, highlighting the main content of the study; secondly, expounds a electricity price risk prediction system based on big data analysis in the spot environment, so as to complete the study.