58 citations · 63 across the 4 of their papers we have counts for
5 papers
Reducing climate risk in energy system planning: a posteriori time series aggregation for models with storage
Adriaan P Hilbers, David J Brayshaw, Axel Gandy
The growth in variable renewables such as solar and wind is increasing the impact of climate uncertainty in energy system planning. Addressing this ideally requires high-resolution…
Comparing Generator Unavailability Models with Empirical Distributions from Open Energy Datasets
Matthew Deakin, David Greenwood, David J. Brayshaw +1
The modelling of power station outages is an integral part of power system planning. In this work, models of the unavailability of the fleets of eight countries in Northwest Europe…
Importance subsampling for power system planning under multi-year demand and weather uncertainty
Adriaan P Hilbers, David J Brayshaw, Axel Gandy
This paper introduces a generalised version of importance subsampling for time series reduction/aggregation in optimisation-based power system planning models. Recent studies indic…
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…
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…