Optimization of In-House Energy Demand - Smart Information Systems: Computational Intelligence for Real-Life Applications - page 281

Fig. 10.5 Graphical user interface (GUI) of SOE heating control system, showing the tempera-
ture settings for a all rooms at current time, b one individual room for a specific weekday, c a
single room for all workdays, and d one individual room for the entire week. The manually cre-
ated heating schedules are compared against the automatically optimized scheme in order to give
recommendations for possible energy savings at idle time intervals
individual room (refer to Fig. 10.5 ). Given the aggregated power consumption of the
household, our implemented energy disaggregation component is able to classify
individual appliance states. The inferred appliance use is subsequently employed to
infer presence and to propose optimized heating schedules to the residents.