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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Auteurs principaux: Cuihui Xia, Tandong Yao, Weicai Wang, Wentao Hu
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-05-01
Collection:Energies
Sujets:
climate
residential electricity consumption
rural and urban difference
machine learning
heating
multicollinearity
Accès en ligne:https://www.mdpi.com/1996-1073/15/9/3355
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