As to the problems of over-moving in local mean decomposition method (LMD), it is proposed to use the cubic Hermite interpolation to get the envelope curve and local mean curve. Instead of moving mean method, it will improve the over moving effect, improving the speed of LMD shifting effectively. Wind power series can be decomposed into different series by improved LMD, and then artificial neural network (ANN) is used to forecast power by each component. The total wind power prediction result is obtained through reconstructing at last. Case study shows that the prediction accuracy has significantly been improved by comparing with other models.
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- Improved LMD and Its Application in Short-Term Wind Power Forecast
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