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