3 papers
stat.AP2026
A Two-Step Spatio-Temporal Framework for Turbine-Height Wind Estimation at Unmonitored Sites from Sparse Meteorological Data
Eamonn Organ, Maeve Upton, Denis Allard +2
Accurate estimates of wind speeds at wind turbine hub heights are crucial for both wind resource assessment and day-to-day management of electricity grids with high renewable penet…
stat.AP2026
Enhancing the Accuracy of Spatio-Temporal Models for Wind Speed Prediction by Incorporating Bias-Corrected Crowdsourced Data
Eamonn Organ, Maeve Upton, Denis Allard +2
Accurate high-resolution spatial and temporal wind speed data is critical for estimating the wind energy potential of a location. For real-time wind speed prediction, statistical m…
stat.AP2025
A sub-hourly spatio-temporal statistical model for solar irradiance in Ireland using open-source data
Maeve Upton, Eamonn Organ, Amanda Lenzi +1
Accurate estimation of solar irradiance is essential for reliable modelling of solar photovoltaic (PV) power production. In Ireland's highly variable maritime climate, where ground…