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

Jun Tanimoto; Aya Hagishima; Hiroki Sagara

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

Jun Tanimoto, Aya Hagishima, Hiroki Sagara

研究成果: 会議への寄与タイプ › 学会誌 › 査読

抄録

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.

本文言語	英語
ページ	696-702
ページ数	7
出版ステータス	出版済み - 12月 1 2007
イベント	Building Simulation 2007, BS 2007 - Beijing, 中国継続期間: 9月 3 2007 → 9月 6 2007

その他

その他	Building Simulation 2007, BS 2007
国/地域	中国
City	Beijing
Period	9/3/07 → 9/6/07

!!!All Science Journal Classification (ASJC) codes

コンピュータサイエンスの応用
建築および建設
建築
モデリングとシミュレーション

他のファイルとリンク

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引用スタイル

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