Fig. 11From: Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithmsQualitative analysis of the predictions of three methods on Fridge1: ISOF, LSTM-AE, OC SVM. ISOF (top) is more robust to the variations of the duration of the cycles, while the others show a weakness in the identification of the anomalous points, in fact, LSTM-AE (middle) and OC SVM (bottom) label numerous normal points as anomalousBack to article page