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Rewrote dataset to be able to include new features

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Victor Mylle
2023-11-08 23:17:47 +00:00
parent 56c763a6f4
commit 2f48363292
10 changed files with 311218 additions and 118 deletions
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Result-Reports/November.md → Result-Reports/November_1.md
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@@ -1,10 +1,11 @@
# Result Report November
# Result Report November (1)
## 1. TODOs
- [x] Compare autoregressive vs non-autoregressive
- [ ] Add more input parameters (load forecast)
- [x] Quantile Regression sampling fix
- [x] Quantile Regression exploration
- [ ] Plots with good scaling (y-axis)
## 2. Autoregressive vs Non-Autoregressive
@@ -84,4 +85,10 @@ Hidden Units: 1024
| Quantiles | Train-MAE | Train-MSE | Test-MAE | Test-MSE |
| --- | --- | --- | --- | --- |
| 0.1, 0.2, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.8, 0.9 | 65.6542529596313 | 7392.5142575554955 | 77.55779692831604 | 10769.161724849037 |
| 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 | 65.68495924348356 | 7326.2239225611975 | 77.62433888969542 | 10789.003223366473 |
| 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 | 65.68495924348356 | 7326.2239225611975 | 77.62433888969542 | 10789.003223366473 |
Also tried one with dropout of 0.3, results are better. This needs to be tested more (hyperparameter tuning is not the focus here):
| Quantiles | Train-MAE | Train-MSE | Test-MAE | Test-MSE |
| --- | --- | --- | --- | --- |
| 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 | 63.710736942371994 | 6988.6436956508105 | 77.29499496466444 | 10706.484005597813 |