4 papers
EVEREST: An Evidential, Tail-Aware Transformer for Rare-Event Time-Series Forecasting
Antanas Zilinskas, Robert N. Shorten, Jakub Marecek
Forecasting rare events in multivariate time-series data is challenging due to severe class imbalance, long-range dependencies, and distributional uncertainty. We introduce EVEREST…
Stochastic Sample Approximations of (Local) Moduli of Continuity
Rodion Nazarov, Allen Gehret, Robert Shorten +1
Modulus of local continuity is used to evaluate the robustness of neural networks and fairness of their repeated uses in closed-loop models. Here, we revisit a connection between g…
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief
Abdul Baseer Satti, James Saunderson, Wynita Griggs +6
Urban traffic congestion, exacerbated by inefficient parking management and cruising for parking, significantly hampers mobility and sustainability in smart cities. Drivers often f…
Levelised Cost of Demand Response: Estimating the Cost-Competitiveness of Flexible Demand
Jacob Thrän, Tim C. Green, Robert Shorten
To make well-informed investment decisions, energy system stakeholders require reliable cost frameworks for demand response (DR) and storage technologies. While the levelised cost…