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Validation of the Probabilistic Methodology to Generate Actual Inhabitants’ Behavior Schedules for Accurate Prediction of Maximum Energy Requirement

Jun Tanimoto, Aya Hagishima and Hiroki Sagara, 2007
inhabitant’s behavior schedule | residential building | time series of energy demand
Bibliographic info: Building Simulation, 2007, Beijing, China
Languages: English

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.


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