Chronological Evaluation of LSTM Forecasting and XGBoost Anomaly Detection in Three-Phase Power Monitoring
Three-phase electrical monitoring produces multivariate streams that support both short-term power forecasting and early anomaly detection. This study evaluates a joint LSTM-XGBoost workflow on 30,240 semi-synthetic one-minute records containing 35 attributes and seven anomaly types. The labels were generated by rule-b...