Litcius/Paper detail

A deep learning approach for anomaly detection and prediction in power consumption data

Charbel Chahla, Hichem Snoussi, L. Merghem, Moez Esseghir

2020Energy Efficiency56 citationsDOI

Topics & Concepts

Anomaly detectionAnomaly (physics)Power consumptionArtificial intelligenceDeep learningConsumption (sociology)Sustainable developmentSustainable consumptionComputer scienceMachine learningPower (physics)EconomicsPolitical scienceSociologyProduction (economics)PhysicsMacroeconomicsQuantum mechanicsLawSocial scienceCondensed matter physicsAnomaly Detection Techniques and ApplicationsElectricity Theft Detection TechniquesSmart Grid Security and Resilience
A deep learning approach for anomaly detection and prediction in power consumption data | Litcius