Number of items: 7.
Article
Drew, D. R., Cannon, D. J., Barlow, J. F., Coker, P. J. and Frame, T.
(2017)
The importance of forecasting regional wind power ramping: a case study for the UK.
Renewable Energy, 114.
pp. 1201-1208.
ISSN 0960-1481
doi: https://doi.org/10.1016/j.renene.2017.07.069
Cannon, D., Brayshaw, D., Methven, J. and Drew, D.
(2017)
Determining the bounds of skilful forecast range for probabilistic prediction of system-wide wind power generation.
Meteorologische Zeitschrift, 26 (3).
pp. 239-252.
ISSN 0941-2948
doi: https://doi.org/10.1127/metz/2016/0751
Cannon, D.J., Brayshaw, D.J., Methven, J., Coker, P.J. and Lenaghan, D.
(2015)
Using reanalysis data to quantify extreme wind power generation statistics: a 33 year case study in Great Britain.
Renewable Energy, 75.
pp. 767-778.
ISSN 0960-1481
doi: https://doi.org/10.1016/j.renene.2014.10.024
Drew, D., Cannon, D., Brayshaw, D., Barlow, J. and Coker, P.
(2015)
The impact of future offshore wind farms on wind power
generation in Great Britain.
Resources, 4 (1).
pp. 155-171.
ISSN 2079-9276
doi: https://doi.org/10.3390/resources4010155
Cannon, D., Kirshbaum, D. J. and Gray, S. L.
(2013)
A mixed-phase bulk orographic precipitation model with embedded convection.
Quarterly Journal of the Royal Meteorological Society, 140 (683).
pp. 1997-2012.
ISSN 1477-870X
doi: https://doi.org/10.1002/qj.2269
Cannon, D. J., Kirshbaum, D. J. and Gray, S. L.
(2012)
Under what conditions does embedded convection enhance orographic precipitation?
Quarterly Journal of the Royal Meteorological Society, 138 (663).
pp. 391-406.
ISSN 0035-9009
doi: https://doi.org/10.1002/qj.926
Other
Cannon, D. and Brayshaw, D.
(2014)
An aggregated wind power generation model based on MERRA reanalysis data: MATLAB model and example data for the April 2014 wind farm distribution of Great Britain.
University of Reading.
This list was generated on Thu Jun 1 19:36:50 2023 UTC.