most citedExplaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data

30 citations · 30 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2025★ 30 cited

Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data

Mohammad Noorchenarboo, Katarina Grolinger

Detecting anomalies in energy consumption data is crucial for identifying energy waste, equipment malfunction, and overall, for ensuring efficient energy management. Machine learni…