Estimation of Spatially Detailed Electricity Demands Using Spatial Statistical Downscaling Techniques

Daisuke Murakami, Yoshiki Yamagata, Hajime Seya

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

Although city scale aggregate electricity demands are usually estimated by multiplying intensity data by floor space, in Japan there are few available sources for municipality level building stock (floor space) data. Hence in this study, we attempt to create municipality level building stock data using the techniques of spatial statistical downscaling. Firstly, this study compares predictive accuracy of several downscaling methods including both deterministic and statistical ones. The results support the use of statistical downscaling methods, which consider spatial autocorrelation or spatial heterogeneity. Secondly, it actually creates building stock data of Japan at municipality level (1803) in 2005 by downscaling prefectural level (49) data employing one of the spatial statistical downscaling methods. Thirdly, using the estimated building stock data, it empirically estimates electricity demand at municipality level.

Original languageEnglish
Pages (from-to)2751-2756
Number of pages6
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates
Duration: 2015 Mar 282015 Mar 31

Keywords

  • Building stocks
  • Downscaling
  • Electricity
  • Spatial statistics
  • Urban resilience

ASJC Scopus subject areas

  • Energy(all)

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