Abstract
An algorism to generate myriad schedule data of each inhabitants' behavior that is provided by a fine time resolution was shown. This procedure seems to be useful to estimate energy and utility requirements such as electricity, gas and water demand in a residential building, a certain district and an urban area, especially for a prediction of maximum loads of those. The method is evolved from the previous one authors' proposed, and is based on several public statistical data. The proposed method can deal with a simultaneous behavior (watching TV with another behavior), adding at-home-flag and family formation, which are necessary for practical calculations.
