文献类型： 外文期刊
作者： Du, Mengbing 1 ; Ruan, Jianhui 3 ; Zhang, Li 4 ; Niu, Muchuan 5 ; Zhang, Zhe 6 ; Xia, Lang 7 ; Qian, Shuangyue 3 ; Chen, Chuchu 8 ;
作者机构： 1.Wuhan Univ, Sch Polit Sci & Publ Adm, Wuhan 430072, Peoples R China
2.Wuhan Univ, Local Govt Publ Serv Innovat Res Ctr, Wuhan 430072, Peoples R China
3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
4.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
5.Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Environm Hlth Sci, Los Angeles, CA 90095 USA
6.Chinese Acad Environm Planning, Ctr Carbon Neutral, Beijing 100043, Peoples R China
7.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
8.Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Pollut & G, Beijing 100043, Peoples R China
关键词： Residential electricity power consumption; monitoring; Urban and rural sectors; Nighttime light data; Monthly scale; China's local level
期刊名称：APPLIED ENERGY （ 影响因子：10.1； 五年影响因子：10.4 ）
ISSN： 0306-2619
年卷期： 2024 年 359 卷
页码：
收录情况： SCI
摘要： Timely implementation of electricity power consumption (EPC) analysis and evaluation helps assess energysaving potential and develop energy management plans. Yet, timely EPC data of subnational regions are usually public unavailable, especially for developing countries. Lacking timely and local EPC data makes it difficult to satisfy the requirements for local governments to quickly monitor energy consumption and establish early warning mechanisms. As a solution, this study establishes a quick accounting method for local residential EPC utilizing nighttime light data, based on which we investigate the variations in residential EPC before and after the COVID-19 pandemic. Our method has demonstrated robust performance in estimation and proven its reliability. Compared to previous studies, the proposed methodology has four advantages. First, it monitors local-level residential EPC data at a monthly scale, which allows for observing EPC statistics at a higher frequency. Second, it separates residential EPC from urban and rural sectors, which is useful for analyzing urban-rural dichotomy energy consumption patterns. Third, it provides a less costly and time-consuming approach to estimating energy consumption over space and time. Fourth, it covers almost the whole China (except Tibet, Hongkong, Macao, and Taiwan due to data unavailability), providing useful information for achieving national energy-saving goals. Based on the methodology, we see great potential for developing "global-country-region" energy monitoring through satellite image data service globally.
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