Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery

doi:10.1016/j.energy.2021.121305

	Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery
	Wang, Jiaxin 2,3; Lu, Feng 1,2,3,4
刊名	ENERGY
	2021-11-01
卷号	234 页码:10
关键词	Electricity consumption Nighttime light Landscape pattern Land use MGWR
ISSN号	0360-5442
DOI	10.1016/j.energy.2021.121305
通讯作者	Lu, Feng(luf@lreis.ac.cn)
英文摘要	Monitoring 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.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA23100501]
WOS关键词	RESIDENTIAL ENERGY-CONSUMPTION ; POWER CONSUMPTION ; SPATIOTEMPORAL DYNAMICS ; MULTIPLE SCALES ; CHINA ; DEMAND ; POPULATION ; EMISSIONS
WOS研究方向	Thermodynamics ; Energy & Fuels
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000692113400004
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165259]
专题	中国科学院地理科学与资源研究所
通讯作者	Lu, Feng
作者单位	1.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 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.