Short-term wind speed prediction method based on EEMD and LSTM
A wind speed prediction, short-term technology, applied in the field of atmospheric science, can solve the problems of long time consumption, poor big data support, inaccurate prediction, etc., and achieve the effect of improving lag, small error, and high application value
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[0051] The present invention is described in further detail now in conjunction with accompanying drawing.
[0052] Such as figure 1 A short-term wind speed prediction method based on EEMD and LSTM is shown, which specifically includes the following steps:
[0053] 1. Preprocess the second-by-second wind speed measured by a regional meteorological observation station into a wind speed sequence with a time interval of τ, τ∈[1, 86400]s.
[0054] 2. Equipment failure and noise interference are unavoidable during the collection process of wind speed observation data, which is prone to modal aliasing during the EMD decomposition process, thereby reducing the prediction accuracy. At present, a better way to solve this problem is EEMD, and the decomposition flow chart is as follows image 3 As shown, the improvement steps are as follows:
[0055] 1) Add white noise such as from a normal distribution to the sequence N(t);
[0056] 2) EMD decomposition is performed on the newly form...
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