Abstract: A method and system for monitoring the electric grid and predicting failures and/or other issues. Streams of data about a power grid are received from a plurality of remote power grid sensors and converted into a univariate time sequence. Anomaly patterns are identified in the univariate time sequence and analyzed or simulated to predict the power grid disruption. The anomaly patterns are compared to power disruption contingencies stored in a database to simulate and/or predict the present or future power disruption represented by the anomaly pattern.