7 citations · 10 across the 2 of their papers we have counts for
2 papers
eess.SY2023★ 7 cited
Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit
Robert I. Hamilton, Panagiotis N. Papadopoulos
Machine learning (ML) for transient stability assessment has gained traction due to the significant increase in computational requirements as renewables connect to power systems. T…
eess.SY2022★ 3 cited
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…