At present, based on the background of environmental issues such as global warming, it is necessary to reduce the energy consumption of buildings. In order to reduce peak power consumption and to save energy, in this study we analysis data which was collected by BEMS installed at Chubu University using a clustering method. The data consists of 9 divisions or colleges and each division of data was classified in 6 clusters. Then, we could identified the relationships between power consumption and school schedule. After that energy consumption structure of college can be quantified andutilized for peak cut measure.
展开▼
