Litcius/Paper detail

Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network

Tambiara Tabassum, Onur Toker, Mohammad Reza Khalghani

2023Applied Energy64 citationsDOI

Topics & Concepts

AutoencoderMicrogridCyber-physical systemComputer scienceTestbedAnomaly detectionPhysical layerResilience (materials science)Distributed computingSmart gridElectric power systemDependabilityArtificial neural networkArtificial intelligenceEngineeringPower (physics)Computer networkWirelessTelecommunicationsControl (management)Operating systemQuantum mechanicsThermodynamicsPhysicsSoftware engineeringElectrical engineeringIslanding Detection in Power SystemsMicrogrid Control and OptimizationSmart Grid Security and Resilience
Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network | Litcius