Abstract
When the proportion of the wind energy is more and more in the word energy, the large scale of wind power grid has great influence on the power system scheduling and the safe operation. Because the day-ahead wind power prediction can help the scheduling department make electricity generation plan, it is very necessary for the wind farms. Now the wind power prediction method is mainly based on the short-term prediction. The prediction method expounded by this paper, is the application of the BP network to forecast the wind power in the wind farms, and improves the forecast model and day-ahead the prediction results.
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© 2014 Springer International Publishing Switzerland
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Zhao, Wh., Ma, J., Zhang, Zz. (2014). The Day-Ahead Neural Network Wind Power Prediction Method in Wind Farms. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_31
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DOI: https://doi.org/10.1007/978-3-319-01273-5_31
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Online ISBN: 978-3-319-01273-5
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