Abstract
Wind Power prediction is very important in the wind power grid management. This paper introduces how to use Cerebellar Model Articulation Controller(CMAC) to build a short-term wind power prediction model.CMAC and Back-propagation Artificial Neural Networks(BP) are used respectively to do the short-term prediction with the data from a wind farm in Inner Mongolia. After comparison of the results, CMAC is more stable, accurate and faster with less training data.. CMAC is considered to be more suitable to do the short-term prediction. All of the study are based on applied mechanics, which will be useful for energy engineering and mechanics study.
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