W. Hamanah

Machine learning framework for predicting ESDD on high-voltage glass insulators with SHAP-based feature optimization

This paper introduces the use of machine learning (ML) models to predict the severity of pollution on high-voltage outdoor glass insulators using equivalent salt deposit density (ESDD). Four ML models, including Support Vector Machines (SVM), Neural Networks (NN), Extremely Randomized Trees (ERT), and Gaussian Process...