Validation of probabilistic methodology for generating actual inhabitants’ behavior schedules for accurate prediction of maximum energy requirements
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A data set of myriad and time-varying inhabitant-behavior schedules with a 15 min time resolution with an appropriate robustness, generated by the authors in a previous study, is validated through a comparison analysis.
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.