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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Bibliografische gegevens
Hoofdauteurs: Cuihui Xia, Tandong Yao, Weicai Wang, Wentao Hu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-05-01
Reeks:Energies
Onderwerpen:
climate
residential electricity consumption
rural and urban difference
machine learning
heating
multicollinearity
Online toegang:https://www.mdpi.com/1996-1073/15/9/3355
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