Energy consumption prediction method
A forecasting method and energy technology, applied in forecasting, instruments, computing models, etc., can solve the problems that the sequence contains a lot of noise, and the energy consumption forecast is easily interfered by external factors, and achieves a good degree of fitting, excellent global search ability, high efficiency The effect of computing performance
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[0040] The embodiments will be described in detail below in conjunction with the accompanying drawings.
[0041] 1. Empirical mode decomposition
[0042] (1)EMD
[0043] The EMD (Empirical Mode Decomposition) algorithm decomposes complex signals into several IMFs (Intrinsic Mode Functions) by screening methods, and IMFs represent the intrinsic characteristic vibration form of the signal. The IMF component must meet the following two conditions:
[0044] 1) The number of extreme points and the number of zero-crossing points are the same or differ by at most 1;
[0045] 2) The upper and lower envelopes should be partially symmetrical.
[0046] For a signal X(t), the flow of the EMD algorithm is as follows:
[0047] 1) Determine all maximum and minimum points of the signal X(t);
[0048] 2) According to the maximum and minimum points of the signal, use the cubic spline interpolation method to construct the f of the upper and lower envelopes of X(t) respectively a (t) and f ...
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