Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations

Robert I. Hamilton, Jochen Stiasny, Tabia Ahmad +5

Interpretable Machine Learning (IML) is expected to remove significant barriers for the application of Machine Learning (ML) algorithms in power systems. This letter first seeks to…