With the increasing use of domestic appliances, especially new and more energy-consuming ones, the need for electricity in a household has risen [HLT+10]. Alone in Europe, residential and office buildings are responsible for 36% of total CO2 emissions(1) and in the US 20% of the total energygeneration in 2016 was dedicated to covering the demand during peak hours [PBE16]. To shift the loads, different demand response programs get implemented for rescheduling the use of appliances in response to different price signals [Sia14]. An approach for targeting the issue of greenhouse gases while shifting the load is to schedule the use of appliances when CO2 intensity is low [FA19b]. In this thesis, I show in a simulation of 500 households in DE, NL, and FR that such a scheduler could reduce CO2 emissions by 21% in DE, 11.4% in NL, and 16.9% in France.

(1) ec.europa.eu/energy/en/topics/energy-efficiency/buildings