2024
DOI: 10.1049/gtd2.13142
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A hybrid deep learning model for short‐term load forecasting of distribution networks integrating the channel attention mechanism

Boyu Qin,
Xin Gao,
Tao Ding
et al.

Abstract: Optimizing short‐term load forecasting performance is a challenge due to the randomness of nonlinear power load and variability of system operation mode. The existing methods generally ignore how to reasonably and effectively combine the complementary advantages among them and fail to capture enough internal information from load data, resulting in accuracy reduction. To achieve accurate and efficient short‐term load forecasting, an integral implementation framework is proposed based on convolutional neural ne… Show more

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