Short-Term Wind Speed Hybrid Forecasting Model Based on Bias Correcting Study and Its Application. (1st June 2015)

• Record Type: Journal Article
• Authors: Niu, Mingfei; Sun, Shaolong; Wu, Jie; Zhang, Yuanlei
• Other Names: Vasant Pandian Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-06-01
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/351354
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.