Sustainable EnergySense: a predictive machine learning framework for optimizing residential electricity consumption
Crossref DOI link: https://doi.org/10.1007/s43621-024-00243-0
Published Online: 2024-04-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Al-Rajab, Murad
Loucif, Samia
Text and Data Mining valid from 2024-04-04
Version of Record valid from 2024-04-04
Article History
Received: 9 January 2024
Accepted: 2 April 2024
First Online: 4 April 2024
Declarations
:
: The authors declare no competing interests.