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

Jun Tanimoto; Aya Hagishima; Hiroki Sagara

doi:10.1016/j.enbuild.2007.02.032

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 journal › Article › peer-review

43 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 language	English
Pages (from-to)	316-322
Number of pages	7
Journal	Energy and Buildings
Volume	40
Issue number	3
DOIs	https://doi.org/10.1016/j.enbuild.2007.02.032
Publication status	Published - 2008

All Science Journal Classification (ASJC) codes

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

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10.1016/j.enbuild.2007.02.032

Cite this

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

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.",

author = "Jun Tanimoto and Aya Hagishima and Hiroki Sagara",

note = "Funding Information: This research was partially supported by the Grant-in-Aid for Core Research for Evolutional Science and Technology (CREST), awarded to Dr. Kanda, Tokyo Institute of Technology, and by the Housing Research Foundation. We would like to express special thanks to these funding sources. Dr. Maeda, National Institute of Advanced Industrial Science and Technology, Dr. Kanda and Prof. Murakawa, Hiroshima University, kindly gave us their data. We really appreciate their generous help.",

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doi = "10.1016/j.enbuild.2007.02.032",

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AU - Tanimoto, Jun

AU - Hagishima, Aya

AU - Sagara, Hiroki

N1 - Funding Information: This research was partially supported by the Grant-in-Aid for Core Research for Evolutional Science and Technology (CREST), awarded to Dr. Kanda, Tokyo Institute of Technology, and by the Housing Research Foundation. We would like to express special thanks to these funding sources. Dr. Maeda, National Institute of Advanced Industrial Science and Technology, Dr. Kanda and Prof. Murakawa, Hiroshima University, kindly gave us their data. We really appreciate their generous help.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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DO - 10.1016/j.enbuild.2007.02.032

M3 - Article

AN - SCOPUS:37349115288

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JO - Energy and Buildings

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ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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