Power load prediction method based on deep learning

Pufan Lu; Tao Zhang; Yu Cao; Haodi Song

doi:10.1117/12.2640088

1 August 2022 Power load prediction method based on deep learning

Pufan Lu, Tao Zhang, Yu Cao, Haodi Song

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 1225736 (2022) https://doi.org/10.1117/12.2640088
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

In order to solve the problem of inaccurate force load prediction results, a power load prediction method is proposed.By acquiring the historical power load data of different monitoring points, maximize the minimum normalization of the historical power load data, construct the power load input matrix based on the normalized power load data, construct the convolutional neural network to extract the spatial features, construct the gated cycle unit to introduce the attention mechanism, input the extracted spatial features to extract the time features, construct the periodic features of the power load data, and integrate all features for prediction.

Citation Download Citation

Pufan Lu, Tao Zhang, Yu Cao, and Haodi Song "Power load prediction method based on deep learning", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 1225736 (1 August 2022); https://doi.org/10.1117/12.2640088

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