22 citations · 46 across the 9 of their papers we have counts for
9 papers
Security by Design Issues in Autonomous Vehicles
Martin Higgins, Devki Jha, David Blundell +1
As autonomous vehicle (AV) technology advances towards maturity, it becomes imperative to examine the security vulnerabilities within these cyber-physical systems. While convention…
Optimal sizing of solar photovoltaic and lithium battery storage to reduce grid electricity reliance in buildings
Han Kun Ren, Malcolm McCulloch, David Wallom
In alignment with the Paris Agreement, the city of Oxford in the UK aims to become carbon neutral by 2040. Renewable energy help achieve this target by reducing the reliance on car…
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas
Weijia Yang, Sarah N. Sparrow, David C. H. Wallom
This paper proposes a generalised and robust multi-factor Gated Recurrent Unit (GRU) based Deep Learning (DL) model to forecast electricity load in distribution networks during wil…
Incentive-weighted Anomaly Detection for False Data Injection Attacks Against Smart Meter Load Profiles
Martin Higgins, Bruce Stephen, David Wallom
Spot pricing is often suggested as a method of increasing demand-side flexibility in electrical power load. However, few works have considered the vulnerability of spot pricing to…
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles
Martin Higgins, Devki Jha, David Wallom
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…
Anomaly Detection for Industrial Big Data
Neil Caithness, David Wallom
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…