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Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning

Crossref DOI link: https://doi.org/10.1186/s42162-025-00552-2

Published Online: 2025-07-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Lanlan

Lin, Yong

Song, Tingting

Chen, Yuchun

Li, Kai

Ran, Junchao
Funding

Funding for this research was provided by:

Research and Application of Key Technologies for Intelligent Forecast of Multi-type Regional User Power based on Market and meteorological Factors (2023A-017)
License Information

Text and Data Mining valid from 2025-07-11

Version of Record valid from 2025-07-11
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Article History

Received: 3 April 2025

Accepted: 29 June 2025

First Online: 11 July 2025

Change Date: 15 August 2025

Change Type: Update

Change Details: This article has been updated to correct the affiliations.

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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