The Wind Speed Prediction Based on AR Model and BP Neural Network
2012 ◽
Vol 450-451
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pp. 1593-1596
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Keyword(s):
Ar Model
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The output of the wind turbine has high randomness due to natural wind velocity. Whether the output can be predicted accurately or not is directly related to the feasibility of dispatching wind power in the power network. The key of wind farm output prediction is to predict the wind speed of wind farm site. This paper uses AR model and BP neural network to predict 24-hour wind speed, and proves the feasibility of these two predicted methods according to comparison with measured wind speed data. This paper has certain reference significance for improving the precision of wind speed prediction.
2014 ◽
Vol 548-549
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pp. 1235-1240
Keyword(s):
2018 ◽
Vol 69
(2)
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pp. 148-155
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Keyword(s):
Keyword(s):
Keyword(s):
2012 ◽
Vol 608-609
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pp. 677-682
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Keyword(s):
2019 ◽
Vol 70
(3)
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pp. 198-207
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Keyword(s):
2012 ◽
Vol 236-237
◽
pp. 741-746
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