Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism

Shuquan Li

doi:10.47297/taposatWSP2633-456924.20260702

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Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism

Volume 7, Issue 2

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Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism
Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism
Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
Vol. 7, Issue 2, Pages: 122-127(2026)
Published：28 February 2026
DOI：10.47297/taposatWSP2633-456924.20260702
Accepted：

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Li Shuquan.Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism[J].Theory and Practice of Science and Technology,2026,07(02):122-127.
DOI：

Li Shuquan.Calculation Method for Time-Varying Electricity Price Elasticity Matrix Based on Dual Filtering Mechanism[J].Theory and Practice of Science and Technology,2026,07(02):122-127. DOI： 10.47297/taposatWSP2633-456924.20260702.

摘要

Abstract

The electricity price elasticity matrix is a core method for describing the relationship between load and price sensitivity. It is widely used in load fitting and modeling research. This paper presents a method to build a time-varying price elasticity matrix based on a double screening mechanism for selecting similar days. The proposed method aims to capture the price sensitivity of industrial and commercial users. First

relevant features that influence load are collected. A feature screening model based on the Pearson correlation coefficient is then built to select those strongly correlated with load changes. Next

a long-term dataset of load

price

and temperature is created using the selected features. To remove the effect of temperature

a grey relational model is applied to filter the dataset

keeping only load data strongly related to the price features of the target day. Finally

based on the traditional elasticity matrix method

price elasticity coefficients are calculated for different industries. This results in a time-varying price elasticity matrix for typical days in different seasons.

关键词

Keywords

references

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