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.

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Published
2025-04-18
DOI
https://doi.org/10.1117/12.3065125
Primary Topic
Grey System Theory Applications
Type
article
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article

Analysis of price correlation and trend projection based on multidimensional data modelling

Seung Won Yu, Maohua Shan
Grey System Theory Applications
article

Analysis of price correlation and trend projection based on multidimensional data modelling

Seung Won Yu, Maohua Shan
article en

Abstract

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.

China Electric Equipment Group (China) (CN), Shanghai Electric (China) (CN), Daiseung Medics (South Korea) (KR), China Power Engineering Consulting Group (China) (CN)
Decent work and economic growth
Openalex Percentile: Top 91%
Grey System Theory Applications
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