Prediction and Analysis of Waste Quantity of Fluorine Containing Adsorbents in Electric Power

Author:

Liu Hang1,Wan Dongyi2,Wei Gang2,Luo Yao2

Affiliation:

1. Chongqing Electric Power Company Ultra High Voltage Branch State Grid,Chongqing,China

2. Chongqing University of Science and Technology,School of Electrical Engineering,Chongqing,China

Publisher

IEEE

Reference14 articles.

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3. SF6 Research on the influence of the main decomposition products on the characteristics of pelvic insulators in GIS [D];Hu;Huazhong University of Science and Technology,2021

4. Short-term prediction of green building heating energy consumption based on a time-series autoregressive model [J];Yingjie;Computer measurement and control,2023

5. Practical application of the statistical software SPSS in statistics teaching [J];jump;Science and Technology Wind,2018

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