Number of items: 7.
Article
Drew, D. R., Cannon, D. J., Barlow, J. F., Coker, P. J. and Frame, T. ORCID: https://orcid.org/0000-0001-6542-2173
(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. ORCID: https://orcid.org/0000-0002-3927-4362, Methven, J. ORCID: https://orcid.org/0000-0002-7636-6872 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. ORCID: https://orcid.org/0000-0002-3927-4362, Methven, J. ORCID: https://orcid.org/0000-0002-7636-6872, 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. ORCID: https://orcid.org/0000-0002-3927-4362, 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. ORCID: https://orcid.org/0000-0001-8658-362X
(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. ORCID: https://orcid.org/0000-0001-8658-362X
(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. ORCID: https://orcid.org/0000-0002-3927-4362
(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 Sat Oct 12 14:42:00 2024 UTC.