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.