Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks
Many real-world cyber-physical systems (CPSs) are engineered for mission-critical tasks
and usually are prime targets for cyber-attacks. The rich sensor data in CPSs can be …
and usually are prime targets for cyber-attacks. The rich sensor data in CPSs can be …
Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation
XJ Zeng, M Yang, YF Bo - International Journal of Electrical Power & …, 2020 - Elsevier
Wind turbine (WT) condition monitoring and anomaly detection based on Supervisory
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …
Control and Data Acquisition (SCADA) data are helpful for wind power operators to organize …
Partial knowledge data-driven event detection for power distribution networks
Y Zhou, R Arghandeh… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The power system has been incorporating increasing amount of unconventional generations
and loads, such as distributed renewable resources, electric vehicles, and controllable …
and loads, such as distributed renewable resources, electric vehicles, and controllable …
Abnormal event detection with high resolution micro-PMU data
Y Zhou, R Arghandeh… - 2016 Power Systems …, 2016 - ieeexplore.ieee.org
Power system has been incorporating increasing amount of unconventional generations
and loads such as renewable resources, electric vehicles, and controllable loads. The …
and loads such as renewable resources, electric vehicles, and controllable loads. The …
Freedetector: Device-free occupancy detection with commodity wifi
Occupancy detection is playing a critical role to improve the efficiency of building
management system and optimize personalized thermal comfort, among many other …
management system and optimize personalized thermal comfort, among many other …
Handling incomplete sensor measurements in fault detection and diagnosis for building HVAC systems
Due to the development of sensor networks and information technology, data-driven fault
detection and diagnosis (FDD) has been made possible with real-time multiple sensor …
detection and diagnosis (FDD) has been made possible with real-time multiple sensor …
DynamoPMU: A Physics Informed Anomaly Detection, Clustering and Prediction Method using Non-linear Dynamics on μPMU Measurements
The expansion in technology and attainability of a large number of sensors has led to a
large amount of real-time streaming data. The real-time data in the electrical distribution …
large amount of real-time streaming data. The real-time data in the electrical distribution …
Nonparametric event detection in multiple time series for power distribution networks
With the unprecedented advancement of sensing technology, smart city applications are
now enriched with massive measurement data related to system states, patterns, and the …
now enriched with massive measurement data related to system states, patterns, and the …
Identifying unseen faults for smart buildings by incorporating expert knowledge with data
Thanks to the development of sensor networks and information technology, data-driven fault
detection and diagnosis (FDD) is getting more and more popular with rich data. In the …
detection and diagnosis (FDD) is getting more and more popular with rich data. In the …