Paper
4 March 2024 Power quality and energy consumption prediction model of transmission line based on grey multiple linear regression
Jiansheng Wang, Jian’an Wang
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298108 (2024) https://doi.org/10.1117/12.3014950
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
Power quality and energy consumption management is one of the key tasks of power grid companies. With the increasingly prominent power quality problems, it is necessary to study the additional losses caused by power quality problems on transmission lines. Therefore, the power quality and energy consumption prediction model of transmission lines based on grey multiple linear regression is constructed. The power quality and energy consumption prediction data of transmission lines are processed under the grey multiple linear regression, the characteristic attributes between samples are calculated, and the weight value of the characteristic attributes is obtained. The characteristic attributes of the calculation results are input into the grey multiple linear regression network, the power quality energy consumption prediction results of the transmission line are output, and the construction of the power quality energy consumption prediction model is completed. The experimental results show that the energy consumption prediction curve obtained by the model is consistent with the actual energy consumption curve, and the energy consumption in summer is generally higher than that in winter. Based on this result, we can effectively establish the demand response of the transmission line with a good prediction effect.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiansheng Wang and Jian’an Wang "Power quality and energy consumption prediction model of transmission line based on grey multiple linear regression", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298108 (4 March 2024); https://doi.org/10.1117/12.3014950
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KEYWORDS
Data modeling

Power consumption

Linear regression

Data transmission

Power grids

Data processing

Model-based design

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