13-18.txt

小波神经网络对短期电力负荷的预测

P=[0.881629834	0.92140884	0.94730663	0.95808011	0.971477901	0.981767956	0.985359116	0.983563536	0.973895028	0.955455801	0.934737569	0.911118785	0.1004;
0.882734807	0.899792818	0.898964088	0.878729282	0.857665746	0.829558011	0.809185083	0.799723757	0.789433702	0.782734807	0.775414365	0.766298343	0.1009;
0.96781768	0.99371547	1	0.98480663	0.970441989	0.949654696	0.933563536	0.925345304	0.914433702	0.904212707	0.893508287	0.88128453	0.0983;
0.802624309	0.848756906	0.877002762	0.884737569	0.907734807	0.936049724	0.952348066	0.959116022	0.957389503	0.943439227	0.936049724	0.935497238	0.0968]';
T=[0.882734807	0.899792818	0.898964088	0.878729282	0.857665746	0.829558011	0.809185083	0.799723757	0.789433702	0.782734807	0.775414365	0.766298343;
0.96781768	0.99371547	1	0.98480663	0.970441989	0.949654696	0.933563536	0.925345304	0.914433702	0.904212707	0.893508287	0.88128453;
0.802624309	0.848756906	0.877002762	0.884737569	0.907734807	0.936049724	0.952348066	0.959116022	0.957389503	0.943439227	0.936049724	0.935497238;
0.836947514	0.871546961	0.89468232	0.905041436	0.920441989	0.935428177	0.944129834	0.947651934	0.944958564	0.934668508	0.924447514	0.914088398]';
threshold=[0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1];
net=newff(threshold,[27,12],{'tansig','logsig'},'trainlm');
net.trainParam.epochs=1000;
net.trainParam.goal=0.01;
LP.lr=0.1;
net=train(net,P,T);

P_test=[0.836947514
	0.871546961
	0.89468232
	0.905041436
	0.920441989
	0.935428177
	0.944129834
	0.947651934
	0.944958564
	0.934668508
	0.924447514
	0.914088398
	0.0996];
Out=sim(net,P_test);