Loughborough University
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Correlation analysis between UK onshore and offshore wind speeds

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conference contribution
posted on 2016-03-14, 14:45 authored by Simon Watson, Rolando Soler-Bientz
The work presented in this paper is an analysis of the correlation between wind speeds at offshore and coastal/inland sites to determine the expected accuracy of long term correction techniques for offshore resource assessment such as measure-correlate-predict (MCP). In particular, data from offshore mast masts at three different heights and five different surface stations have been studied. Different coastal-offshore, inland-offshore and coastal-onshore combinations have been analysed. Correlations based on one half of the available data and prediction accuracy based on the second half of the data are presented. The correlation coefficient, the Root Mean Square Error (RMSE) and the Mean Absolute Percentage Error (MAPE) were used as metrics in this case. Although RMSE of predictions is greatest for offshore sites, the MAPE is lowest for two of the three regions studied. An MAPE of 25-30% may be expected in terms of wind speed prediction accuracy based on statistical (turbulent) variation.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

European Wind Energy Association Annual Event


WATSON, S.J. and SOLER-BIENTZ, R., 2015. Correlation analysis between UK onshore and offshore wind speeds. Presented at the European Wind Energy Association Conference, Paris, 17-20th Nov.


European Wind Energy Association


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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This is a conference paper.


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