TY - JOUR
T1 - Validation of probabilistic methodology for generating actual inhabitants' behavior schedules for accurate prediction of maximum energy requirements
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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U2 - 10.1016/j.enbuild.2007.02.032
DO - 10.1016/j.enbuild.2007.02.032
M3 - Article
AN - SCOPUS:37349115288
SN - 0378-7788
VL - 40
SP - 316
EP - 322
JO - Energy and Buildings
JF - Energy and Buildings
IS - 3
ER -