Power Indicator Benchmarking Evaluation System Based on Multi-Source Data Fusion

Authors

  • Xiaomeng Liu State Grid Gansu Electric Power Company, 730000, Gansu, China
  • Jianming Zhang State Grid Gansu Electric Power Company, 730000, Gansu, China
  • Xiaoxia Kou State Grid Gansu Electric Power Company, 730000, Gansu, China
  • Zhenguo Peng Gansu Tongxing Intelligent Technology Development Co., LTD., 730050, Gansu, China
  • Tingting Liu Gansu Tongxing Intelligent Technology Development Co., LTD., 730050, Gansu, China

Abstract

Traditional power indicator benchmarking systems are unableto meet the multi-dimensional dynamic evaluation needs of new power systems. In this paper, a dynamic benchmarking evaluation system is constructed based on multi-source data fusion. By establishing a multi-dimensional indicator library of “source-grid-load-storage-carbon”, integrating data from several domains such as meteorology, geography, and policy, an integrated methodological framework comprising dynamic weighting, comprehensive evaluation, and trend prediction is designed to achieve adaptive assessment and the analysis of future system status. Empirical results show that this system can improve the coverage of traditional evaluation methods for dimensions such as clean and low-carbon energy from 5 points to over 75 points, and effectively support risk warning and proactive dispatch by
means of ongoing prediction of key indicators such as the rate of utilization of renewable energy (RMSE=0.18%).

Keywords: Data Fusion; Power System Evaluation; LSTM Prediction; Dynamic Benchmarking Framework; Renewable Energy Utilization

Cite As

X. Liu, J. Zhang, X. Kou, Z. Peng, T. Liu, "Power Indicator Benchmarking Evaluation System Based on Multi-Source Data Fusion",
Engineering Intelligent Systems, vol. 34 no. 3, pp. 399-411, 2026.



 

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Published

2026-05-01

Issue

Vol. 34 No. 3 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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