A method for operating a power generating asset, the method comprising: a) receiving, via a controller, at least one external data set for a sampling period from at least one source separate from the power generating asset, the external data set being indicative of a plurality of variables affecting a performance of the power generating asset; b) receiving, via the controller, at least one operational data set for the power generating asset for the sampling period, the at least one operational data set being indicative of the performance of the power generating asset; c) generating, via the controller, a plurality of production-assessment models for the power generating asset; d) training, via the controller, the plurality of production-assessment models via the at least one external data set and the at least one operational data set to correlate the performance of the power generating asset as a function of the plurality of variables; e) generating, via the controller, a performance prediction over a predictive implementation period for each of a plurality of model-variable combinations, wherein the plurality of model-variable combinations comprise a plurality of combinations of each of the production-assessment models and the plurality of variables, wherein the performance predictions each comprise a power generation prediction and a confidence interval; and f) implementing, via the controller, a control action based on one of the performance predictions; wherein the at least one external data set and the at least on operational data set are each generated at a first sampling interval and a second sampling interval, and wherein generating the plurality of production assessment models further comprises: generating a first portion of the plurality of production assessment models based on the at least one external data set and the at least on operational data set having the first sampling interval; and generating a second portion of the plurality of production assessment models based on the at least one external data set and the at least one operational data set having the second sampling interval, wherein the second sampling interval has a higher frequency relative to the first sampling interval. a) receiving, via a controller, at least one external data set for a sampling period from at least one source separate from the power generating asset, the external data set being indicative of a plurality of variables affecting a performance of the power generating asset; b) receiving, via the controller, at least one operational data set for the power generating asset for the sampling period, the at least one operational data set being indicative of the performance of the power generating asset; c) generating, via the controller, a plurality of production-assessment models for the power generating asset; d) training, via the controller, the plurality of production-assessment models via the at least one external data set and the at least one operational data set to correlate the performance of the power generating asset as a function of the plurality of variables; e) generating, via the controller, a performance prediction over a predictive implementation period for each of a plurality of model-variable combinations, wherein the plurality of model-variable combinations comprise a plurality of combinations of each of the production-assessment models and the plurality of variables, wherein the performance predictions each comprise a power generation prediction and a confidence interval; and f) implementing, via the controller, a control action based on one of the performance predictions; generating a first portion of the plurality of production assessment models based on the at least one external data set and the at least on operational data set having the first sampling interval; and generating a second portion of the plurality of production assessment models based on the at least one external data set and the at least one operational data set having the second sampling interval, wherein the second sampling interval has a higher frequency relative to the first sampling interval.