Matlab源码 基于BP神经网络实现电力负荷预测模型.zip

function main() %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% month = 12; %训练月份 day_start = 5; %开始日期 day_len = 5; %训练天数 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% file_path = '2018负荷预测数据'; map_maxmin = []; output = []; for day = day_start:1:(day_start + day_len - 1) [raw_data, raw_max ,raw_min] = read_load_data_from_excel(file_path, month ,day); data_temp = my_map(1, raw_data, raw_max, raw_min, 1, 0); map_maxmin = cat(1, map_maxmin, [0 1]); output = cat(1, output, data_temp); target_day = day + 1; end [target_data, target_max, target_min] = read_load_data_from_excel(file_path, month ,target_day); t_d = my_map(1, target_data, target_max, target_min, 1, 0); net = newff(map_maxmin, [6,40,1], {'tansig','logsig','purelin'}, 'traincgf'); net.trainParam.epochs = 1000000;%设置最大迭代次数 net.trainParam.goal = 0.001;%设置神经网络的训练的目标误差 net.trainParam.lr = 0.1;%学习率 goal_net = train(net, output, t_d);%训练神经网络，返回训练好的网络和误差记录 Y = sim(goal_net, output); goal = my_map(0, Y', target_max, target_min, 1, 0); t=1:1:96; plot(t,target_data,t,goal,'r') goal' end