58 citations · 63 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…