Validation of the probabilistic methodology to generate actual inhabitants' behavior schedules for accurate prediction of maximum energy requirement

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

Research output: Contribution to conferencePaper

Abstract

A data set of myriad and time-varying inhabitant-behavior schedules with a 15-minute 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 9,327 residences, also shows an acceptable consistency.

Original languageEnglish
Pages696-702
Number of pages7
Publication statusPublished - Dec 1 2007
EventBuilding Simulation 2007, BS 2007 - Beijing, China
Duration: Sep 3 2007Sep 6 2007

Other

OtherBuilding Simulation 2007, BS 2007
CountryChina
CityBeijing
Period9/3/079/6/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modelling and Simulation

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