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AssigneeSiemens Aktiengesellschaft
InventorsStephan Merk, Domenico Tomaselli, Christian Heuer
Estimating the term…
For detecting electric vehicle charging sessions in a whole household net profile, a first step estimates an electric vehicle charger size from the net profile. A second step identifies candidate windows associated with the charging of an electric vehicle based on the estimated charger size. In a third step, a machine learning model classifies the candidate windows into charging windows and unrelated windows, wherein each charging window indicates an electric vehicle charging session. The method needs only net-metering as input. No separate EV charger metering is needed for the detection. In an embodiment of the method, the machine learning model is picked from a set of machine learning models, depending on the estimated charger size. Each model in the set of machine learning models has been trained for a different charger size. The machine learning model receives as input suitable features that have been computed for the candidate windows.
A computer implemented method for detecting electric vehicle charging sessions in a net profile, wherein the following operations are performed by components, and wherein the components are hardware components and/or software components executed by one or more processors, the method comprising:
A system for detecting electric vehicle charging sessions in a net profile, comprising:
Dependencies are inferred from the claim text.