diff --git a/浙江电压等级电量/电压等级_输出为5.py b/浙江电压等级电量/电压等级_输出为5.py index 880e3bf..14f81ba 100644 --- a/浙江电压等级电量/电压等级_输出为5.py +++ b/浙江电压等级电量/电压等级_输出为5.py @@ -147,12 +147,17 @@ plt.show() # 以x为基础实际数据，滚动预测未来3天 # x = torch.from_numpy(df[-14:-4]).to(device) # pred = model(x.reshape(-1,1,DAYS_FOR_TRAIN)).view(-1).detach().numpy() - +x2 = np.array([227964890.1,220189256.2,220189256.2,220189256.2,220189256.2,220189256.2,220189256.2,220189256.2,220189256.2,220189256.2]) +x2 = (x2 - min_value) / (max_value - min_value) +x2 = x2.reshape(-1,1,10) +print(x2) +x2 = torch.from_numpy(x2).type(torch.float32).to(device) +pred2 = model(x2) # 反归一化 # pred = pred * (max_value - min_value) + min_value # df = df * (max_value - min_value) + min_value - +pred2 = pred2 * (max_value - min_value) + min_value # print(pred) # # 打印指标 # print(abs(pred - df[-3:]).mean() / df[-3:].mean()) diff --git a/浙江行业电量/7月第二产业.csv b/浙江行业电量/7月第二产业.csv new file mode 100644 index 0000000..c14eb1e --- /dev/null +++ b/浙江行业电量/7月第二产业.csv @@ -0,0 +1,81 @@ +,real,pred +0,131564783.7,126795130.0 +1,132766749.3,133054400.0 +2,134627798.5,112079910.0 +3,60036891.29,132175150.0 +4,126875653.9,121984800.0 +5,132766749.3,131850330.0 +6,134627798.5,130741310.0 +7,60036891.29,122185530.0 +8,126875653.9,120376670.0 +9,114563784.3,125502700.0 +10,134627798.5,121764130.0 +11,60036891.29,122379070.0 +12,126875653.9,115178010.0 +13,114563784.3,114463370.0 +14,126771498.6,121226660.0 +15,60036891.29,120667700.0 +16,126875653.9,121843530.0 +17,114563784.3,116627580.0 +18,126771498.6,119159256.0 +19,129509629.2,122724620.0 +20,126875653.9,78751710.0 +21,114563784.3,87139670.0 +22,126771498.6,88614824.0 +23,129509629.2,88520584.0 +24,130495445.0,90823224.0 +25,114563784.3,115206100.0 +26,126771498.6,116118080.0 +27,129509629.2,117057660.0 +28,130495445.0,119815080.0 +29,129748129.5,115494200.0 +30,126771498.6,111689224.0 +31,129509629.2,111429730.0 +32,130495445.0,113834776.0 +33,129748129.5,109861300.0 +34,129071269.0,109465610.0 +35,129509629.2,120339630.0 +36,130495445.0,117088150.0 +37,129748129.5,114501450.0 +38,129071269.0,112723880.0 +39,123990717.9,114411340.0 +40,130495445.0,122938440.0 +41,129748129.5,118429950.0 +42,129071269.0,112962740.0 +43,123990717.9,114078220.0 +44,114689979.6,117691510.0 +45,129748129.5,119786430.0 +46,129071269.0,117264330.0 +47,123990717.9,113728376.0 +48,114689979.6,117083560.0 +49,126030504.0,119878720.0 +50,129071269.0,118120460.0 +51,123990717.9,119194650.0 +52,114689979.6,120066800.0 +53,126030504.0,124281810.0 +54,129439645.7,123197270.0 +55,123990717.9,134707740.0 +56,114689979.6,135240900.0 +57,126030504.0,139490300.0 +58,129439645.7,141228210.0 +59,129974672.9,136469630.0 +60,114689979.6,126996620.0 +61,126030504.0,128940420.0 +62,129439645.7,133013000.0 +63,129974672.9,129035260.0 +64,130081788.2,127547430.0 +65,126030504.0,121989440.0 +66,129439645.7,122925096.0 +67,129974672.9,122987600.0 +68,130081788.2,120426230.0 +69,128397780.6,120251540.0 +70,129439645.7,126157680.0 +71,129974672.9,124618160.0 +72,130081788.2,122500020.0 +73,128397780.6,122199360.0 +74,122509080.0,122623110.0 +75,129974672.9,126170240.0 +76,130081788.2,123900060.0 +77,128397780.6,121184110.0 +78,122509080.0,121777624.0 +79,113050253.7,123061704.0