1. A method of classifying an event in an electrical grid, wherein the method comprises: receiving individual event related data from intelligent electronic devices, arranging, in a data structure, classes of probability values pertaining to the individual event related data, that according to a first class the event is an adjacent monitoring zone fault and that according to a second class the event is an adjacent monitoring zone non-fault, or that according to a third class the event is a primary monitoring zone fault and that according to a fourth class the event is a primary monitoring zone non-fault for each intelligent electronic device, a primary monitoring zone of an intelligent electronic device being a monitoring zone which that intelligent electronic device is assigned to monitor and an adjacent monitoring zone of an intelligent electronic device being a monitoring zone that is not a primary monitoring zone for that intelligent electronic device, selecting in the data structure a highest probability value from each of the first class and the second class, or each of the third class and the fourth class, for each intelligent electronic device, determining a respective total probability that the event belongs to the first class based on the highest probability values from the first class, that the event belongs to the second class based on the highest probability values from the second class, that the event belongs to the third class based on the highest probability values from the third class, and that the event belongs to the fourth class based on the highest probability values from the fourth class, and determining whether the event is a fault or a non-fault based on the total probabilities of the first class, the second class, the third class and the fourth class.