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Wind power density forecasting using ensemble predictions and time series models.

Abstract:

Wind power is an increasingly used form of renewable energy. The uncertainty in wind generation is very large due to the inherent variability in wind speed, and this needs to be understood by operators of power systems and wind farms. To assist with the management of this risk, this paper investigates methods for predicting the probability density function of generated wind power from one to ten days ahead at five U.K. wind farm locations. These density forecasts provide a description of the ...

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Publisher copy:
10.1109/TEC.2009.2025431

Authors


Publisher:
IEEE Power & Energy Society
Journal:
IEEE Transactions on Energy Conversion
Volume:
24
Issue:
3
Pages:
775 - 782
Publication date:
2009-01-01
DOI:
ISSN:
0885-8969
Language:
English
UUID:
uuid:ce7f844e-01bf-41b4-bb31-240dd3c446c4
Local pid:
oai:economics.ouls.ox.ac.uk:14887
Deposit date:
2011-08-16

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