There are many different consumers of electrical energy in the world, each of which requires a certain amount of electrical power for its operation. This is directly reflected in electricity costs, which is why the goal is to reduce electricity consumption and thereby lower expenses. Lower electricity consumption also contributes to reducing the load on the power system, especially transmission lines, while at the same time helping to reduce the environmental burden.
In order to solve the problem addressed, it is first necessary to obtain electricity consumption data from the Moj elektro portal and process it using the Python programming environment. Based on the acquired data, the suitability of individual tariff systems must then be analyzed. This is followed by the modelling of a heat pump and the sizing of a solar power plant. Furthermore, the impact of an electric vehicle on electricity consumption must be examined, and finally, the influence of the HEMS system on total electricity consumption must be evaluated.
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