Table 5 Final LSTM parameters
From: Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Parameter | Value |
|---|---|
Optimizer | Adam |
Time steps per day K | 96 |
Past input timesteps as multiple of K | 1 |
Batch size | 64 |
Epochs | 75 |
Steps per epoch | 200 |
Learning rate | 0.001 |
Number of units in LSTM-layer | 200 |
Number of units in dense layers | 130 |