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Journal of Environmental Information Science Vol.43 No.5 (2015年)
[pp.39-44]
Estimating Residential Energy Consumption:An Advanced Method for Activity Schedules Generation based on Data Fusion
Shogo SAKAMOTO （Institute for Transport Policy Studies）
Abstract:
Residential energy consumption has been estimated using statistics about activity schedules. Typical activity schedule-generation methods use only the National Time Use Survey (NHK survey) and have been used in estimations of residential energy consumption. However, activity schedule-generation methods using only the NHK survey have problems. Method for generating activity schedules by integrating multiple statistics using data fusion improves these problems. But it is not clear how improving the accuracy of residential energy consumption estimation through this method compares to that using only the NHK survey. This study reveals the degree of improvement seen in the estimation accuracy of residential energy consumption by this method. As a result, it is shown that the estimation accuracy of residential energy consumption by NHK + PT+TU is higher than by NHK only.
Key Word:
residential energy consumption, activity schedules, data fusion