Quasi real-time energy use estimation using Google's Popular Times data

Takahiro Yoshida, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This chapter illustrates a geostatistic model (Chapter 4) application to estimate quasi real-time energy consumption in each building using Google's Popular Times data. After the introduction in Section 11.1 where our research motivations are explained, Section 11.2 describes the empirical methods, and we adopt compositional kriging approach for this analysis. Section 11.3 shows the estimation results of estimating building-level energy consumption. Effective visualization is attempted with the results. Section 11.4 concludes this chapter with a discussion.

Original languageEnglish
Title of host publicationSpatial Analysis Using Big Data
Subtitle of host publicationMethods and Urban Applications
PublisherElsevier
Pages271-280
Number of pages10
ISBN (Electronic)9780128131329
ISBN (Print)9780128131275
DOIs
Publication statusPublished - 2019 Nov 2
Externally publishedYes

Keywords

  • Compositional kriging
  • Energy demand estimation
  • Popular Times
  • Real time
  • Smart community

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • General Business,Management and Accounting

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