144 citations · 524 across the 36 of their papers we have counts for
3 papers · 1 filter
Efficient quantification of the impact of demand and weather uncertainty in power system models
Adriaan P Hilbers, David J Brayshaw, Axel Gandy
This paper introduces a new approach to quantify the impact of forward propagated demand and weather uncertainty on power system planning and operation models. Recent studies indic…
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network
Shihao Jin, Nicolò Savioli, Antonio de Marvao +4
In this work, a novel approach is proposed for joint analysis of high dimensional time-resolved cardiac motion features obtained from segmented cardiac MRI and low dimensional clin…
Importance subsampling: improving power system planning under climate-based uncertainty
Adriaan P Hilbers, David J Brayshaw, Axel Gandy
Recent studies indicate that the effects of inter-annual climate-based variability in power system planning are significant and that long samples of demand & weather data (spanning…