A Comparative Analysis of Machine Learning Models for a Scalable Electrical Model-Free Voltage Calculation Methodology

This paper presents a methodology to capture the underlying relationships among historical smart meter data (P, Q, and V) and the corresponding low-voltage (LV) network. The research include a comprehensive analysis and comparison of three machine learning (ML) models: Random Forest Regression, XGBoost, and Artificial Neural Networks (ANN).