**5.2. An example of power monitoring results**

**Figure 9** shows an example of a data summary obtained from power monitoring. Because there is a large variation among individual data, we have presented diurnal patterns averaged for weekdays, weekends/holidays, and seasons. Results show a diurnal pattern of typical domestic energy consumption, with peaks in the morning and evening. When weekdays and weekends/holidays were compared in **Figure 9(a)**, a large peak was observed around 6 a.m. on weekdays, which rapidly decreased by around 9 a.m. In contrast, this trend was much weaker on weekends/holidays, and power usage was higher during the day on weekends/holidays. Seasonal comparison based on **Figure 9(b)** shows a large peak in the morning during winter, but summer usage is similar to spring and fall usage, indicating that a large heating load occurs as people turn their heaters on upon waking. Subsequently, power usage during the day before bedtime was higher for summer and winter than the other seasons, showing that increased cooling and heating loads occur in the summer and winter months.

### **5.3. Connection with the Shinchi Station district CEMS and future outlook**

Introduction of automatic demand response control is being evaluated for the community energy project in the JR Shinchi Station district redevelopment area. Automatic demand response control involves a bidirectional information network that connects the demand and supply sides and automatic control of cooling, heating, and lighting based on the demand. In this manner, reductions can be made to peak loads and excess power at existing power plants, the heat and power balance at cogeneration plants can be adjusted, and the demand and supply balance can be controlled when introducing unstable power, such as natural energy.
