A method of correcting turbine underperformance, the method comprising: accessing monitored operational data for the turbine; calculating a power production curve using at least a portion of the monitored operational data; predicting a baseline power production curve based on expected performance of the turbine; detecting a first set of vertical residual changes in power residual time series data produced by comparing at least the portion of the monitored operational data and the baseline power production curve; generating one or more monitored operability curves from the at least a portion of the monitored operational data, each of the one or more monitored operability curves describing a relationship between monitored values for one or more paired turbine operational variables; generating one or more baseline operability curves for the turbine, each of the one or more baseline operability curves describing an expected relationship between the one or more paired turbine operational variables; detecting a set of vertical residual changes in residual time-series data produced by comparing the one or more monitored operability curves and a corresponding one of the one or more baseline operability curves; comparing the sets of vertical residual changes to a respective predetermined metric for each of the one or more paired turbine operational variables; and based on a determination that one or more members of the sets of vertical residual changes is in excess of the respective predetermined metric, providing feedback to a turbine control system identifying at least one of the one or more paired turbine operational variables that corresponds to the member of the sets of vertical residual changes in excess of the predetermined metric, the feedback comprising information regarding a corresponding root cause of a turbine underproduction and is used to adjust one or more turbine actuators to impact a value for a respective one of the one or more paired turbine operational variables to increase the power production. accessing monitored operational data for the turbine; calculating a power production curve using at least a portion of the monitored operational data; predicting a baseline power production curve based on expected performance of the turbine; detecting a first set of vertical residual changes in power residual time series data produced by comparing at least the portion of the monitored operational data and the baseline power production curve; generating one or more monitored operability curves from the at least a portion of the monitored operational data, each of the one or more monitored operability curves describing a relationship between monitored values for one or more paired turbine operational variables; generating one or more baseline operability curves for the turbine, each of the one or more baseline operability curves describing an expected relationship between the one or more paired turbine operational variables; detecting a set of vertical residual changes in residual time-series data produced by comparing the one or more monitored operability curves and a corresponding one of the one or more baseline operability curves; comparing the sets of vertical residual changes to a respective predetermined metric for each of the one or more paired turbine operational variables; and based on a determination that one or more members of the sets of vertical residual changes is in excess of the respective predetermined metric, providing feedback to a turbine control system identifying at least one of the one or more paired turbine operational variables that corresponds to the member of the sets of vertical residual changes in excess of the predetermined metric, the feedback comprising information regarding a corresponding root cause of a turbine underproduction and is used to adjust one or more turbine actuators to impact a value for a respective one of the one or more paired turbine operational variables to increase the power production.