Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations.
Robert I. HamiltonJochen StiasnyTabia AhmadSamuel ChevalierRahul NellikkathIlgiz MurzakhanovSpyros ChatzivasileiadisPanagiotis N. PapadopoulosPublished in: CoRR (2022)
Keyphrases
- power system
- machine learning
- computational intelligence
- distribution systems
- power grid
- smart grid
- economic dispatch
- power generation
- transmission line
- load forecasting
- data mining
- electrical power
- artificial intelligence
- voltage stability
- short term load forecasting
- electric power systems
- reactive power
- active power
- power distribution systems
- environmentally friendly
- power grids
- operating point
- manufacturing systems