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Machine Learning-Based Electricity Theft Detection in Smart Grids using Class Imbalance Handling and Shapley Additive Explanations (Shap) Explainability

The results make clear that ignoring class imbalance renders theft detection systems ineffective in practice, and that SHAP explanations are a meaningful bridge between statistical performance and the operational confidence utilities need to act on model outputs.