@sandersbud4 Thank you for your comment!
I try to apply Standard Scaler by following steps:

Adding following code after “train_test_split” stage

sc = StandardScaler()
X_Train = sc.fit_transform(X_Train)
X_Test = sc.transform(X_Test)


And applying Standard Scaler to test dataset before test

X_Prediction = Variable(torch.FloatTensor(X_Prediction)).to(Device)
X_Prediction_Scaled  = sc.transform(X_Prediction.cpu())
X_Prediction_Scaled = Variable(torch.FloatTensor(X_Prediction_Scaled)).to(Device)
Calculation  = net(X_Prediction_Scaled).to(Device)
Y_Predicted  = Calculation.data[:,0].cpu().numpy()

Am I doing correct?