Method for optimizing parameters of load prediction algorithm based on Gaussian liquid level method
A technology of load forecasting and parameter optimization, applied in forecasting, calculation, data processing applications, etc., can solve the problems of long time for parameter optimization, poor adaptability of load characteristics, etc., to solve the problem of parameter optimization, small calculation, clear thinking effect
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[0035] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.
[0036] figure 1 It is a flow chart of Gaussian liquid level method used for parameter optimization of load forecasting algorithm. figure 1 In , the basic steps of the Gaussian liquid level method for parameter optimization are:
[0037] Step 1: Initialize the Gaussian liquid level, that is, set the expected and variance queue length (QL), parameter optimization dimension (N), and parameter value range (N-dimensional vector: lowB, upB); the initial optimal parameter x best It is an optional parameter, which can be set manually or randomly generated by the algorithm; then the expected queue QE and variance queue QD will be initialized;
[0038] Step 2: Calculate the probability density function f based on the expected...
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