Libai Wang1, Weiyan Qian1, Tianyi Xu1, Xingyi Zhu1, Zijun Wang1, and Faye Zhang2This email address is being protected from spambots. You need JavaScript enabled to view it.
1State Grid Jiangsu Electric Power Co., Ltd. Changzhou Power Supply Branch, Changzhou 213004, China
2School of Control Science and Engineering, Shandong University, Jinan 250061, China
Received: September 29, 2024 Accepted: April 4, 2025 Publication Date: July 30, 2025
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
The power industry is the largest single industry in China in terms of coal consumption and carbon emissions. Real time, accurate, and comprehensive measurement of electricity carbon emissions is the foundation and prerequisite for tapping into the potential of electricity carbon reduction, guiding electricity users to interact and reduce carbon emissions, and also the data foundation supporting the carbon market. In order to improve the accuracy and efficiency of regional carbon emission accounting, a regional dynamic carbon emission model based on hierarchical gated recurrent unit network is proposed. Firstly, a power-energy consumption model based on Copula function correlation analysis and hierarchical gated recurrent unit network is proposed. Then, considering the characteristics of time-sharing power consumption, dynamic carbon emission factor is introduced, and combined with the power-consumption model, a regional dynamic carbon emission model based on hierarchical gated recurrent unit network is proposed. Finally, the validity and accuracy of the power-consumption model were verified through the analysis of the data of the National Bureau of Statistics and the data of enterprises, and the accuracy and efficiency of the regional dynamic carbon emission model was further verified by comparing with the traditional carbon measurement methods. This model can realize the goal of monitoring the total amount of regional carbon emission by monitoring regional electricity consumption, greatly simplify the efficiency of regional carbon emission calculation, and provide a technical scheme for the research of power grid "energy metering" and "carbon metering".
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