Abstract
A residential electricity demand model is developed for the purpose of simulating electricity demand profile in typical one-day period of any category of families, DINKs, or singles in local climate conditions, utilizing national fundamental urban-region-based statistics such as PT(Person Trip Survey), National Census, Household Expenditure Survey and Survey on Time Use and Leisure Activities. The experiments of Monte-Carlo simulations in Kobe East urban area highlight considerable fidelity of the pilot model, illustrating time profile of cooking, housekeeping, watching TV and others in air-conditioned rooms in 7 categorized housing units with mobility and 20 timeconsuming activities. The scheme of aggregating process for district-based energy management is introduced by using demographic, building stock and other urban indicators in GIS.
