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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 351354, 13 pages
Research Article

Short-Term Wind Speed Hybrid Forecasting Model Based on Bias Correcting Study and Its Application

School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China

Received 27 October 2014; Revised 7 December 2014; Accepted 8 December 2014

Academic Editor: Pandian Vasant

Copyright © 2015 Mingfei Niu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The accuracy of wind speed forecasting is becoming increasingly important to improve and optimize renewable wind power generation. In particular, reliable short-term wind speed forecasting can enable model predictive control of wind turbines and real-time optimization of wind farm operation. However, due to the strong stochastic nature and dynamic uncertainty of wind speed, the forecasting of wind speed data using different patterns is difficult. This paper proposes a novel combination bias correcting forecasting method, which includes the combination forecasting method and forecasting bias correcting model. The forecasting result shows that the combination bias correcting forecasting method can more accurately forecast the trend of wind speed and has a good robustness.