Exploring the application of machine learning techniques for power consumption forecasting: insights and implications for decision-making in the energy industry
Crossref DOI link: https://doi.org/10.1007/s12046-025-02741-x
Published Online: 2025-05-28
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Han, Min https://orcid.org/0009-0001-3237-7190
Text and Data Mining valid from 2025-05-28
Version of Record valid from 2025-05-28
Article History
Received: 5 August 2024
Revised: 21 October 2024
Accepted: 2 January 2025
First Online: 28 May 2025