Items where Author is "Brayshaw, David"

Dataset

Bloomfield, Hannah and Brayshaw, David (2021): ERA5 derived time series of European aggregated surface weather variables, wind power, and solar power capacity factors: hourly data from 1950-2020. University of Reading. Dataset. https://doi.org/10.17864/1947.000321

Bloomfield, Hannah and Brayshaw, David (2021): Future climate projections of surface weather variables, wind power, and solar power capacity factors across North-West Europe. University of Reading. Dataset. https://doi.org/10.17864/1947.000331

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.273

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation: hourly data from 1979-2019. University of Reading. Dataset. https://doi.org/10.17864/1947.272

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): MERRA2 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.239

Gonzalez, Paula, Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): Sub-seasonal forecasts of European electricity demand, wind power and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.275

Drew, Daniel, Bloomfield, Hannah, Coker, Phil, Barlow, Janet and Brayshaw, David (2019): MERRA derived hourly time series of GB-aggregated wind power, solar power and demand. University of Reading. Dataset. https://doi.org/10.17864/1947.191

Drew, Daniel, Brayshaw, David, Barlow, Janet and Coker, Phil (2016): An hourly time series of GB-aggregated wind power generation from 1980-2013, based on a future distribution of wind farms with a high level of offshore capacity. University of Reading. Dataset. https://doi.org/10.17864/1947.75