MACHINE LEARNING-BASED OPTIMIZATION OF THERMODYNAMIC POWER GENERATION

A method includes analyzing information to be processed, where analyzing the information includes classifying invalid data contained in the information and substituting replacement data in place of at least some of the invalid data in the information. The method also includes training at least one machine learning model based on some of the analyzed information. The method further includes providing other of the analyzed information to the at least one trained machine learning model, where the at least one trained machine learning model is used to generate one or more recommendations based on the analyzed information. In addition, the method includes translating each of the one or more recommendations into one or more actions and generating one or more control instructions based on the one or more actions for at least one of the one or more recommendations.