Short-term load forecasting for distribution stations based on convolutional LSTM network considering attention mechanism

Xiaoxiao Lu,Mingli Wang,Biaolong Su,Zenghui Liu,Haiping Yu,Lingwei Kong,Kun Zhang,Xiaoming Huang,Chenxi Huang

doi:10.1049/icp.2024.4207

Short-term load forecasting for distribution stations based on convolutional LSTM network considering attention mechanism

Xiaoxiao Lu, Mingli Wang + Show 7 more

https://doi.org/10.1049/icp.2024.4207

Copy DOI

Export

Save

Cite

Journal: IET Conference Proceedings

Publication Date: Jan 1, 2025

#Convolutional LSTM Network #Attention Mechanism #Convolutional Network #Convolutional LSTM #LSTM Network #Distribution Stations #Short-term Load

Abstract
Full-Text
Similar Papers

Abstract

Listen

Short-term load forecasting for distribution stations based on convolutional LSTM network considering attention mechanism

Full Text

Published Version

Check institute access

Open DOI Link

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

More From: IET Conference Proceedings

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.

R Discovery Prime

Short-term load forecasting for distribution stations based on convolutional LSTM network considering attention mechanism