Short-term load estimation based on improved DBN-LSTM

Short-term load estimation based on improved DBN-LSTM

Abstract Aiming at the rapid change and low forecasting accuracy of short-term power load forecasting, a forecasting model based on the improved deep belief network and long short-term memory network is proposed. By combining deep belief network with long short-term memory network, the model gives f...

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Bibliographic Details
Main Authors: Nan Dong, Yuwen Wu, Buyun Su, Zhanzhi Liu
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Sustainable Energy Research
Subjects:
Deep belief network
LSTM
Pruning algorithm
Long sequence data
Electric load
Online Access:https://doi.org/10.1186/s40807-025-00192-w
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https://doi.org/10.1186/s40807-025-00192-w

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