Demand response forecast & outcome

By adapting the use of district heating during critical times during a day when there is a high load, you can reduce the climate impact. The idea is that by reducing the use of district heating when it is most pressure on the system, you can reduce the climate impact by avoiding using less climate-friendly fuels. This dataset describes how the forecasted district heating use per hour for an entire grid corresponds to actual outcomes. The grid consists of the buildings Samverkanshuset, Matematikgränd and Ålidhem Health Centre. For data for each building in the grid see:- Mathematicsgränd peakload shaving- Ålidhem HC peakload shaving- Collaboration house peakload shaving