Machine Learning Model Optimization Explainability

A method includes obtaining, using at least one processing device, data from one or more data sources, where the data is associated with or affects an underlying system to be optimized. The method also includes generating, using at least one processing device, predictions based on the obtained data, where the predictions represent estimated values associated with one or more time-varying parameters associated with the underlying system. The method further includes providing, using the at least one processing device, the predictions to an optimizer. In addition, the method includes executing, using the at least one processing device, the optimizer to generate optimization results based on the predictions, where the optimization results are associated with the underlying system.