Abstract: A method is disclosed for exporting a black-box model of an inverter-based resource or plant from a first software platform for use by a second software platform. The method comprises simulating, using the first software platform, instantaneous time-domain responses of the inverter-based resource or plant to respective conditions defined by a script, according to the black-box model. The method may further comprise generating training data from the instantaneous time-domain responses and the respective conditions. The method may further comprise, with the training data, training a machine learning model to model the inverter-based resource or plant, wherein the trained machine learning model is transparent as to its inner workings. The method may further comprise generating software code that represents the trained machine learning model in terms of software code usable for defining a custom model of the inverter-based resource or plant in the second software platform.

Abstract: Methods for detecting power system events in an electrical power system. An example method comprises determining a signal envelope for each of at least first and second power system signals and performing density-based spatial clustering of a series of points formed by combining respective values of the signal envelopes for at least the first and second power system signals. The example method further comprises detecting one or more power system events by identifying outlier points or groups of points in the spatial clustering.

Abstract: Disclosed are a method and an apparatus for estimating driving information, the apparatus receives a driving route of a vehicle, generates speed deviations corresponding to points on the driving route, and generates a speed profile that is a sequence of predicted speeds corresponding to the points based on the speed deviations and average speeds corresponding to the points.

Abstract: Disclosed are a method and an apparatus for estimating driving information, the apparatus receives a driving route of a vehicle, generates speed deviations corresponding to points on the driving route, and generates a speed profile that is a sequence of predicted speeds corresponding to the points based on the speed deviations and average speeds corresponding to the points.