19-24.txt

小波神经网络对短期电力负荷的预测

P=[0.880732044	0.84468232	0.806560773	0.766367403	0.722859116	0.676933702	0.625069061	0.56691989	0.505179558	0.438881215	0.381353591	0.334185083	0.1004;
0.761533149	0.760082873	0.741643646	0.705179558	0.659737569	0.599861878	0.538812155	0.477209945	0.403936464	0.321616022	0.256698895	0.210359116	0.1009;
0.871270718	0.863121547	0.841160221	0.804558011	0.760566298	0.705041436	0.647720994	0.58929558	0.521339779	0.445925414	0.385428177	0.341022099	0.0983;
0.929212707	0.921132597	0.90359116	0.874585635	0.840469613	0.798756906	0.750345304	0.69551105	0.631629834	0.558701657	0.499930939	0.456975138	0.0968]';
T=[0.761533149	0.760082873	0.741643646	0.705179558	0.659737569	0.599861878	0.538812155	0.477209945	0.403936464	0.321616022	0.256698895	0.210359116;
0.871270718	0.863121547	0.841160221	0.804558011	0.760566298	0.705041436	0.647720994	0.58929558	0.521339779	0.445925414	0.385428177	0.341022099;
0.929212707	0.921132597	0.90359116	0.874585635	0.840469613	0.798756906	0.750345304	0.69551105	0.631629834	0.558701657	0.499930939	0.456975138;
0.898480663	0.879212707	0.856077348	0.828453039	0.79730663	0.762430939	0.722237569	0.676588398	0.626035912	0.570234807	0.529143646	0.504834254]';
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=[0.898480663
	0.879212707
	0.856077348
	0.828453039
	0.79730663
	0.762430939
	0.722237569
	0.676588398
	0.626035912
	0.570234807
	0.529143646
	0.504834254
	0.0996];
Out=sim(net,P_test);