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Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery
Wang, Jiaxin1,2; Lu, Feng1,2,3,4
2021-11-01
Source PublicationENERGY
ISSN0360-5442
Volume234Pages:10
Corresponding AuthorLu, Feng(luf@lreis.ac.cn)
AbstractMonitoring electricity consumption (EC) under high spatiotemporal resolution is important for optimizing energy utilization. Although current studies have established various regression models to spatialize EC using Nighttime light (NTL) imagery under the accepted assumption that EC is directly related with NTL, the impact of other factors on the EC-NTL relationship is not fully considered. In this study, we introduced land use types and landscape patterns to optimize EC-NTL model. Specifically, we constructed 12 indicators using NTL and Landsat TM/ETM + imageries to model EC, which considers both human activity and landscape patterns on different land use types. A multi-scale geographically weighted regression (MGWR) model was applied to build the heterogeneous relationship. Experiments were conducted on 292 prefecture-level cities in China. Results showed that the MGWR model gets an adjusted R-2 as 0.92, which is 13.6% and 8.2% higher than the simple and multiple linear regression. Five indicators obviously correlated with EC were pinpointed, including the total area of urban and industrialmining land, NTL mean, NTL standard deviation and patch density of rural settlement. It is argued that scale is an effective proxy at urban and industrial-mining land, while NTL distribution is representative at rural settlement for modelling EC. (C) 2021 Elsevier Ltd. All rights reserved.
KeywordElectricity consumption Nighttime light Landscape pattern Land use MGWR
DOI10.1016/j.energy.2021.121305
WOS KeywordRESIDENTIAL ENERGY-CONSUMPTION ; POWER CONSUMPTION ; SPATIOTEMPORAL DYNAMICS ; MULTIPLE SCALES ; CHINA ; DEMAND ; POPULATION ; EMISSIONS
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDA23100501]
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences
WOS Research AreaThermodynamics ; Energy & Fuels
WOS SubjectThermodynamics ; Energy & Fuels
WOS IDWOS:000692113400004
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/165260
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Feng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jiaxin,Lu, Feng. Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery[J]. ENERGY,2021,234:10.
APA Wang, Jiaxin,&Lu, Feng.(2021).Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery.ENERGY,234,10.
MLA Wang, Jiaxin,et al."Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery".ENERGY 234(2021):10.
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