MACHINE LEARNING-BASED DEGRADATION OPTIMIZATION FRAMEWORK

Techniques for machine learning-based degradation optimization are disclosed. In embodiments, a method includes identifying a power module, wherein the power module is controlled with a set of variables; determining, using functional relations of degradation of a degradation machine learning model, optimal set-point values that minimize degradation of the power module while utilizing minimal resources; and reducing a degradation rate of the power module by adjusting one or more of the variables that control the power module based on the determined optimal set-point values.