气候变化领域集成服务门户(CCPortal): Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach

CCPortal

DOI	10.3390/en15093355
	Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach
	Xia, Cuihui; Yao, Tandong; Wang, Weicai; Hu, Wentao
通讯作者	Xia, CH (通讯作者)
发表日期	2022
EISSN	1996-1073
卷号	15 期号:9
英文摘要	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 feature importance scores and partial dependence plots. Results show that the climate contributes about 16.46% to total Tibet REC while socioeconomic factors contribute about 83.55%. Precipitation (particularly snowfall) boosts electricity consumption during the cold season. The effect of the climate is stronger in urban Tibet (similar to 25.06%) than rural Tibet (similar to 14.79%), particularly in September when electricity-aided heating is considered optional, as higher incomes amplified the REC response to the climate. With urbanization and income growth, the climate is expected to contribute more to Tibet REC. Hence, precipitation should be incorporated in climate-REC functions for the social cost of carbon (SCC) estimation, particularly for regions vulnerable to snowfall and blizzards. Herein, we developed a model-agnostic method that can quantify the total effect of the climate while differentiating between contributions from temperature and precipitation, which can be used to facilitate interdisciplinary and cross-section analysis in earth system science. Moreover, this data-driven model can be adapted to warn against extreme weather induced power outages.
关键词	ENERGY-CONSUMPTION SOCIAL COST IMPACT CHINA DEMAND URBAN WEATHER
英文关键词	climate; residential electricity consumption; rural and urban difference; machine learning; heating; multicollinearity; Tibet
语种	英语
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:000796151100001
来源期刊	ENERGIES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260562
推荐引用方式 GB/T 7714	Xia, Cuihui,Yao, Tandong,Wang, Weicai,et al. Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach[J]. 中国科学院青藏高原研究所,2022,15(9).
APA	Xia, Cuihui,Yao, Tandong,Wang, Weicai,&Hu, Wentao.(2022).Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach.ENERGIES,15(9).
MLA	Xia, Cuihui,et al."Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach".ENERGIES 15.9(2022).