Sustainable EnergySense: a predictive machine learning framework for optimizing residential electricity consumption

Abstract In a world where electricity is often taken for granted, the surge in consumption poses significant challenges, including elevated CO2 emissions and rising prices. These issues not only impact consumers but also have broader implications for the global environment. This paper endeavors to p...

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Hlavní autoři:	Murad Al-Rajab, Samia Loucif
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2024-04-01
Edice:	Discover Sustainability
Témata:	Sustainability Machine learning Deep learning Electricity consumption Object detection Smart application
On-line přístup:	https://doi.org/10.1007/s43621-024-00243-0
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