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

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)316-322
Number of pages7
JournalEnergy and Buildings
Volume40
Issue number3
DOIs
Publication statusPublished - Jan 1 2008

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All Science Journal Classification (ASJC) codes

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

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