Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach

Quantifying the climatic effect on residential electricity consumption (REC) can provide valuable insights for improving climate–energy damage functions. Our study quantifies the effect of climate on the REC in Tibet using machine learning algorithm models and model-agnostic interpretation tools of...

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Hlavní autoři: Cuihui Xia, Tandong Yao, Weicai Wang, Wentao Hu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2022-05-01
Edice:Energies
Témata:
climate
residential electricity consumption
rural and urban difference
machine learning
heating
multicollinearity
On-line přístup:https://www.mdpi.com/1996-1073/15/9/3355
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