Abstract: A method for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

Abstract: The example embodiments are directed to a system and method which can perform a text-based search for a temporal data pattern in time-series data. The text-based search process is significantly faster than a distance measurement-based search performed based on temporal pattern comparisons. In one example, the method may include storing previously recorded temporal patterns of time-series data, determining a set of optimal bin boundaries based on the previously recorded temporal patterns, where the set of optimal bin boundaries divide the observed range of time-series data into a plurality of discrete bins each labeled with a respective symbol, transforming the previously recorded temporal patterns of time-series data into symbol strings based on the set of optimal bin boundaries, where a symbol string is based on data points in the plurality of discrete bins, and storing the symbol strings within a symbol storage.

Abstract: The example embodiments are directed to a system and method which can perform a text-based search for a temporal data pattern in time-series data. The text-based search process is significantly faster than a distance measurement-based search performed based on temporal pattern comparisons. In one example, the method may include storing previously recorded temporal patterns of time-series data, determining a set of optimal bin boundaries based on the previously recorded temporal patterns, where the set of optimal bin boundaries divide the observed range of time-series data into a plurality of discrete bins each labeled with a respective symbol, transforming the previously recorded temporal patterns of time-series data into symbol strings based on the set of optimal bin boundaries, where a symbol string is based on data points in the plurality of discrete bins, and storing the symbol strings within a symbol storage.