Research Article
Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345346, author={Jin Xing and Zhongkang Wei and Bo Ning and Tianbo Zhu and Rui Min and Gongyu Wei}, title={Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={power market operational risks big data analysis risk modeling risk management quantification analysis}, doi={10.4108/eai.15-12-2023.2345346} }- Jin Xing
Zhongkang Wei
Bo Ning
Tianbo Zhu
Rui Min
Gongyu Wei
Year: 2024
Research on Medium and Long-term Power Market Operation Risk Analysis and Risk Management Suggestions Based on Big Data Analytics
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345346
Abstract
With the acceleration of China’s electricity market reform process, the number of market entities, transaction types, transaction frequency and scale in each provincial power market have increased significantly. In order to deal with the operational risks of the medium- and long-term power market, this study adopts risk identification and quantification methods based on big data analytics, and builds multiple power market operational risk analysis models by exploring the correlations among massive transaction data. Based on the research results, combined with the investigation and collection of relevant information, this study carried out the assessment of medium- and long-term market operation risks in Province A, and put forward risk management suggestions for power market operating institutes based on the analysis results.
