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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Главные авторы: Cuihui Xia, Tandong Yao, Weicai Wang, Wentao Hu
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2022-05-01
Серии:Energies
Предметы:
climate
residential electricity consumption
rural and urban difference
machine learning
heating
multicollinearity
Online-ссылка:https://www.mdpi.com/1996-1073/15/9/3355
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