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Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data
Xiao, Hongwei1,2; Ma, Zhongyu3,4; Mi, Zhifu5; Kelsey, John5; Zheng, Jiali5,6,7; Yin, Weihua1; Yan, Min1
2018-12-01
Source PublicationAPPLIED ENERGY
ISSN0306-2619
Volume231Pages:1070-1078
AbstractDelay in publication of energy statistics prevents a timely assessment of progress towards meeting targets for energy saving and emission reduction in China. This makes it difficult to meet the requirements to rapidly monitor and evaluate energy consumption for each province. In this study, an alternative approach is provided to estimate the energy consumption by using satellite remote sensing data. We develop spatio-temporal geographically weighted regression models to simulate energy consumption of provinces in China based on the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) global stable night-time light data. The models simulate China's energy consumption accurately with the goodness of fit higher than 99%. Generally, the national average annual energy consumption is 2.8 billion tonnes of coal equivalent in China between 2000 and 2013, which is close to the actual value with errors smaller than 0.1%. From both temporal and spatial dimensions, the relative errors are smaller than 5.5% at the provincial level. Therefore, the use of satellite night-time light data provides a useful reference in monitoring and assessing provincial energy consumption in China.
KeywordNight-time light data Energy consumption Spatio-temporal geographically weighted regression China Simulation
DOI10.1016/j.apenergy.2018.09.200
Language英语
Funding ProjectNational Key R&D Program of China[2016YFA0602601] ; Special Items Fund of Beijing Municipal Commission of Education, Beijing Social Science Fund of China ; Program of Beijing Energy Development Research Center[NYJD20170101] ; National Social Science Fund of China[15ZDA011]
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:000452345400082
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/31998
Collection中国科学院数学与系统科学研究院
Affiliation1.State Informat Ctr, Econ Forecasting Dept, Beijing 100045, Peoples R China
2.Beijing Energy Dev Res Ctr, Beijing 102206, Peoples R China
3.State Informat Ctr, Beijing 100045, Peoples R China
4.Renmin Univ China, Sch Environm & Nat Resources, Beijing 100872, Peoples R China
5.UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England
6.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
7.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xiao, Hongwei,Ma, Zhongyu,Mi, Zhifu,et al. Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data[J]. APPLIED ENERGY,2018,231:1070-1078.
APA Xiao, Hongwei.,Ma, Zhongyu.,Mi, Zhifu.,Kelsey, John.,Zheng, Jiali.,...&Yan, Min.(2018).Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data.APPLIED ENERGY,231,1070-1078.
MLA Xiao, Hongwei,et al."Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data".APPLIED ENERGY 231(2018):1070-1078.
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