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Optimal sizing of solar photovoltaic and lithium battery storage to reduce grid electricity reliance in buildings
This research seeks to optimally size solar photovoltaic and lithium battery storage systems, reducing Oxford's grid electricity reliance in buildings.
Incentive-weighted Anomaly Detection for False Data Injection Attacks Against Smart Meter Load Profiles
To reduce false positives, we model incentive-based detection, which includes knowledge of spot prices, into the anomaly tracking, enabling the methodology to account for changes in the load profile which are unlikely to be attacks.
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles
Time-of-flight (ToF) distance measurement devices such as ultrasonics, LiDAR and radar are widely used in autonomous vehicles for environmental perception, navigation and assisted braking control.
Anomaly Detection for Industrial Big Data
As the Industrial Internet of Things (IIoT) grows, systems are increasingly being monitored by arrays of sensors returning time-series data at ever-increasing 'volume, velocity and variety' (i. e. Industrial Big Data).
