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: ジャーナルへの寄稿記事

34 引用 (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.

元の言語英語
ページ(範囲)316-322
ページ数7
ジャーナルEnergy and Buildings
40
発行部数3
DOI
出版物ステータス出版済み - 1 1 2008

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Time series
Water

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

これを引用

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