Validation of probabilistic methodology for generating actual inhabitants' behavior schedules for accurate prediction of maximum energy requirements

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

研究成果: Contribution to journalArticle査読

39 被引用数 (Scopus)

抄録

A data set of myriad and time-varying inhabitant-behavior schedules with a 15 min time resolution, generated by the authors in a previous study, is validated through a comparison analysis. We show three comparisons. The first and second compare the estimated demand with a time series of actual utility demand. The comparisons indicate that the generated data and its algorithm, described by the authors, have an appropriate robustness. Another comparison between the estimate and the annual averaged daily water demand of a residential area, consisting of 9327 residences, also shows an acceptable consistency.

本文言語英語
ページ(範囲)316-322
ページ数7
ジャーナルEnergy and Buildings
40
3
DOI
出版ステータス出版済み - 2008

All Science Journal Classification (ASJC) codes

  • 土木構造工学
  • 建築および建設
  • 機械工学
  • 電子工学および電気工学

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