Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data

  title={Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data},
  author={Bailang Yu and Tingbao Xu and Zuoqi Chen and Rui Liu},
The rapid development of global industrialization and urbanization has resulted in a great deal of electric power consumption (EPC), which is closely related to economic growth, carbon emissions, and the longterm stability of global climate. This study attempts to detect spatiotemporal dynamics of global EPC using the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime stable light (NSL) data. The global NSL data from 1992 to 2013 were intercalibrated via… CONTINUE READING
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Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries

  • Y Xie, Q. Weng
  • Energy
  • 2016
1 Excerpt

Efficient syngas generation for electricity storage through carbon gasification assisted solid oxide coelectrolysis

  • L Lei, Y Wang, S Fang, C Ren, T Liu, F. Chen
  • Appl Energy 2016;173:52–8
  • 2016

Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

  • K Shi, C Huang, B Yu, B Yin, Y Huang, J. Wu
  • Remote Sens Lett 2014;5:358–66
  • 2016

Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis

  • K Shi, Y Chen, B Yu, T Xu, Z Chen, R Liu
  • Appl Energy 2016;168:523–33
  • 2016
1 Excerpt

Modelling electricity futures prices using seasonal path-dependent volatility

  • V Fanelli, L Maddalena, S. Musti
  • Appl Energy 2016;173:92–102
  • 2016

Modelling of electrical energy consumption in Delhi

  • M Ranjan, V Jain
  • World Development Indicators ( WDI )
  • 2016

Short-run and the longrun effects of electricity price on electricity intensity across regions

  • S Kwon, S-H Cho, RK Roberts, HJ Kim, K Park, T-HE. Yu
  • Appl Energy 2016;172:372–82
  • 2016

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