Evaluation of neural networks for residential load forecasting and the impact of systematic feature identification

Energy Informatics

Table 4 Tunable hyperparameters

Model parameters	Training parameters	Data parameters
Hidden layer size Number of hidden layers Dropout Activation functions	Batch size Optimizer algorithm Learning rate Gradient clipping	Type of data scaler Feature engineering: • Hour of day • Day of week • Month • Number of lags