1. A method of detecting power consumption anomalies in an electrical system comprising: monitoring at least one power meter electrically connected to the electrical system; determining a power time series from monitoring at least one power meter electrically connected to the electrical system; determining a first power time period from the power time series; determining at least one additional power second time period from the power time series, wherein the first and second time periods are different; comparing the first power time period with the at least one additional power time period to generate a dissimilarity matrix; applying a dimensionality reduction algorithm to obtain a low dimensional embedding of the dissimilarity matrix; and computing a probability score of each of the first power time period and the at least one additional power time period being anomalous.