This paper presents a time series analysis of historical observations of wind speed in order to project future wind speed trends. For this study, 52 years of data have been used from seven suitable stations across the UK. Four parsimonious models have been employed, and the data were split into two different segments: the training and the validation data sets. During the fitting process, the optimum parameters for each model were determined in order to minimize the mean square error in the predictions. The results suggest that the seasonal pattern in wind speeds is the most important factor but that there is some monthly autocorrelation in the data, which can improve forecasts. This is confirmed by testing the four models with the model having considered both autocorrelation and seasonality achieving the smallest errors. The approach proposed for forecasting wind speeds a month ahead may be deemed useful to suppliers for purchasing base load in advance and to system operators for power system maintenance scheduling up to a month ahead.
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e-mail: p.kritharas@lboro.ac.uk
e-mail: s.j.watson@lboro.ac.uk
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November 2010
Research Papers
A Comparison of Long-Term Wind Speed Forecasting Models
Petros P. Kritharas,
Petros P. Kritharas
Centre for Renewable Energy Systems Technology (CREST), Department of Electronic and Electrical Engineering,
e-mail: p.kritharas@lboro.ac.uk
Loughborough University
, Loughborough LE11 3TU, UK
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Simon J. Watson
Simon J. Watson
Centre for Renewable Energy Systems Technology (CREST), Department of Electronic and Electrical Engineering,
e-mail: s.j.watson@lboro.ac.uk
Loughborough University
, Loughborough LE11 3TU, UK
Search for other works by this author on:
Petros P. Kritharas
Centre for Renewable Energy Systems Technology (CREST), Department of Electronic and Electrical Engineering,
Loughborough University
, Loughborough LE11 3TU, UKe-mail: p.kritharas@lboro.ac.uk
Simon J. Watson
Centre for Renewable Energy Systems Technology (CREST), Department of Electronic and Electrical Engineering,
Loughborough University
, Loughborough LE11 3TU, UKe-mail: s.j.watson@lboro.ac.uk
J. Sol. Energy Eng. Nov 2010, 132(4): 041008 (8 pages)
Published Online: October 4, 2010
Article history
Received:
September 8, 2009
Revised:
June 22, 2010
Online:
October 4, 2010
Published:
October 4, 2010
Citation
Kritharas, P. P., and Watson, S. J. (October 4, 2010). "A Comparison of Long-Term Wind Speed Forecasting Models." ASME. J. Sol. Energy Eng. November 2010; 132(4): 041008. https://doi.org/10.1115/1.4002346
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