Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data.
Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of en...
| Publicado en: | Environmental Management Vol. 61; no. 4; pp. 615 - 624 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128462550&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128462550 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Apr2018 vid: 61 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128462550 10.1007/s00267-017-0978-1 128462550 ppf: 615 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data. aug: au: Tripathy, Bismay Ranjan Sajjad, Haroon Elvidge, Christopher D. Ting, Yu Pandey, Prem Chandra Rani, Meenu Kumar, Pavan affil: National Centre for Earth Science Studies (Ministry of Earth Sciences), Post Box No.7250, 695011, Akkulam, Thiruvananthapuram, India sug: ab: Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India. The nighttime light database provides a good approximation of availability of energy. We utilized defense meteorological satellite program-operational line-scan system (DMSP-OLS) nighttime satellite data, electricity consumption (1993-2013), gross domestic product (GDP) and population growth to construct the model. We also attempted to examine the sensitiveness of electricity consumption to GDP and population growth. The results revealed that the calibrated DMSP and model has provided realistic information on the electric demand with respect to GDP and population, with a better accuracy of <italic>r</italic>2 = 0.91. The electric demand was found to be more sensitive to GDP (<italic>r</italic> = 0.96) than population growth (<italic>r</italic> = 0.76) as envisaged through correlation analysis. Hence, the model proved to be useful tool in predicting electric demand for its sustainable use and management. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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