Short-term power load forecasting using SSA-CNN-LSTM method

Short-term power load forecasting using SSA-CNN-LSTM method

The short-term power load forecasting provides an essential foundation for the dispatching management of the power system, which is crucial for enhancing economy and ensuring operational stability. To enhance the precision of the short-term power load forecasting, this paper proposes a hybrid predic...

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Bibliographic Details
Main Authors:	Yonggang Wang, Yue Hao, Biying Zhang, Nannan Zhang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Systems Science & Control Engineering
Subjects:	Short-term power load forecasting sparrow search algorithm convolutional neural network long short-term memory network
Online Access:	https://www.tandfonline.com/doi/10.1080/21642583.2024.2343297
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