Paper
10 August 2023 Distribution substation heavy overload data processing method based on BP neural network
Shuting Chen, Sen Xu, Xinmiao Hu, Anqing Chen
Author Affiliations +
Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127591W (2023) https://doi.org/10.1117/12.2686649
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
The traditional processing of distribution substation heavy overload data uses manual method or association rule method, but its processing efficiency is slow and processing accuracy is low. In this regard, a BP neural network method for processing distribution substation heavy overload data is proposed. The BP neural network is constructed to build a model, extract data features, and train the model for data processing using large-scale data. In the experiments, the processing accuracy of the proposed model is verified. The analysis of the experimental results shows that the model processing efficiency is high and the data processing accuracy is high when the proposed model is used for data accuracy detection.
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Shuting Chen, Sen Xu, Xinmiao Hu, and Anqing Chen "Distribution substation heavy overload data processing method based on BP neural network", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127591W (10 August 2023); https://doi.org/10.1117/12.2686649
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KEYWORDS
Data modeling

Data processing

Education and training

Neural networks

Windows

Transformers

Signal processing

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