Shorya Mittal

Short-term load forecasting using artificial neural network and linear regression across multi-city smart grid dataset

The experimental findings indicate that Linear Regression (LR) model is better than the Artificial Neural Network (ANN) model because it has a small Root Mean Square Error (RMSE), which means that the underlying data set is more linear in nature and in this case, simpler models can be more effective than the more complex nonlinear models.