Phase change heat storage type electric heating load control system control method based on LSTM algorithm
A technology of phase change heat storage and control method, which is applied in the direction of heating system, heating method, neural learning method, etc., can solve the problem of large-scale promotion of phase change heat storage type electric heating renovation project, which cannot be comprehensively and accurately analyzed Economic and social benefits of phase change heat storage electric heating
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[0102] Embodiment 1: as attached figure 1 , 2 As shown, the LSTM algorithm-based control method for the negative control system of phase change thermal storage electric heating includes the following steps:
[0103] step 1:
[0104] Step 11, (1) The load power P of the i-th phase change thermal storage electric heating system i (t), load power extreme value P i,min ,P i,max , load change trend T l (t), load fluctuation information F l (t), arrange according to the matrix and carry out the M-order window moving smoothing process to weaken the influence of the cycle. At this time, the load data is recorded as
[0105] (2) Use the minmaxscaler module in the python software to convert the load data to the time data set so that it is in the interval {-1, 1}, and the converted data set is denoted as X i ={x i,1 , x i,2 ,...,x i,k , x i,n}, the output is load change trend prediction information;
[0106] (3) The data set X is divided by sliding window i Refactoring: If...
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