Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism

Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism

Optimizing short-term load forecasting performance is a challenge due to the non-linearity and randomness of electrical load, as well as the variability of system operating patterns. Existing methods often fail to consider how to effectively combine their complementary advantages and fail to fully c...

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Bibliographic Details
Main Authors: Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
power grid
energy forecasting
convolutional neural network
long short-term memory network
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/15/5/2435
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