Collaboration house peakload shaving

By adapting the use of district heating (meter_effect) in critical occasions for 24 hours when there is a high load, climate impact can be reduced. The idea is to: by reducing the use of district heating when it is most pressure on the system; can reduce climate impact by avoiding using less climate-friendly fuels; This dataset describes how to artificially signal a lower outdoor temperature (outdoortemp_offset) than the actual outdoor temperature (outdoortemp) “fucking” the steering that it’s warmer out there. But because it shouldn't get too cold inside and sacrifice comfort in the building, there is a budget/limit on how much one can control down which is controlled by: temperature sensors in the property. This dataset can be combined with dataset Matematikgränd & Ålidhem HC peakload shaving, as the three buildings together form a grid. To relate the outcome to forecast values for the whole grid see dataset Peakload shaving forecast and actual