Analysis of price correlation and trend projection based on multidimensional data modelling
With the complex evolution of the global energy market, fluctuations in electricity prices have become a key issue in economic regulation and market operations. This paper provides an in-depth analysis of the correlation and trend prediction of electricity prices based on multidimensional data modelling. First, an index system for electricity price correlation is constructed, and intelligent analysis methods are used to reveal the interrelationships between electricity prices and multidimensional factors. Then, a multidimensional data model is used to accurately quantify the correlation of electricity prices, and the effect of inferring electricity price trends is verified using examples. The results show that this method can effectively capture the regularity of electricity price changes, providing a scientific basis for market forecasting and policy formulation. Finally, this paper summarises the research results and looks ahead to future development directions.
Authors
- Seung Won Yu
- Maohua Shan
Institutions
- China Electric Equipment Group (China) (CN)
- Shanghai Electric (China) (CN)
- Daiseung Medics (South Korea) (KR)
- China Power Engineering Consulting Group (China) (CN)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1117/12.3065125
- Primary Topic
- Grey System Theory Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00