Microgrid short-term load prediction method based on empirical mode decomposition
An empirical mode decomposition, short-term load forecasting technology, applied in forecasting, instrumentation, data processing applications, etc., can solve the problems of unconsidered, long forecasting time, and low forecasting result accuracy.
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[0068] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0069] Such as figure 1 As shown, a short-term load forecasting method for microgrid based on empirical mode decomposition includes the following steps:
[0070] S1. Collect the original load data and perform preprocessing to obtain the total load curve;
[0071] S2. Using the empirical mode decomposition method, the total load curve is decomposed into a trend load curve and a fluctuating load curve;
[0072] S3. According to the trend load curve, the trend load forecast value is obtained by constructing a gray forecast model based on the amplitude compression method;
[0073] S4. According to the fluctuating load curve, by establishing a MIC historical matrix considering the correlation of similar load days, and simultaneously establishing a UTCI historical library including meteorological factors and geographical location factors, the flu...
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