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Mingfei Niu; Shaolong Sun; Jie Wu; Yuanlei Zhang (2015)
Publisher: Hindawi Limited
Journal: Mathematical Problems in Engineering
Languages: English
Types: Article
Subjects: TA1-2040, Mathematics, Engineering (General). Civil engineering (General), Article Subject, QA1-939

Classified by OpenAIRE into

ACM Ref: ComputerApplications_MISCELLANEOUS
arxiv: Physics::Atmospheric and Oceanic Physics, Physics::Space Physics, Astrophysics::High Energy Astrophysical Phenomena, Astrophysics::Solar and Stellar Astrophysics
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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