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Updated thesis

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Victor Mylle
2024-05-11 02:06:07 +02:00
parent 1b2b3518e2
commit 934d4951ff
6 changed files with 24 additions and 17 deletions
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4
Reports/Thesis/sections/results/models/diffusion.tex
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@@ -51,12 +51,16 @@ In Figure \ref{fig:diffusion_intermediates}, multiple intermediate steps of the
& 300 & 2 & 256 & 57129.71 & 185.56 & 81.00 \\
& 300 & 2 & 512 & 48364.77 & 169.39 & 79.13 \\
& 300 & 2 & 1024 & 43540.50 & 159.17 & 78.27 \\
& 300 & 2 & 2048 & 41946.52 & 155.85 & 78.19 \\
& 300 & 3 & 256 & 52741.73 & 177.09 & 79.55 \\
& 300 & 3 & 512 & 45048.05 & 161.89 & 78.46 \\
& 300 & 3 & 1024 & 42089.13 & 155.97 & 78.25 \\
& 300 & 3 & 2048 & 41797.63 & 154.69 & 78.05 \\
& 300 & 3 & 4096 & 39943.93 & 151.62 & 77.59 \\
& 300 & 4 & 256 & 56939.68 & 185.07 & 81.16 \\
& 300 & 4 & 512 & 46225.72 & 164.74 & 79.19 \\
& 300 & 4 & 1024 & 42984.02 & 157.54 & 77.92 \\
& 300 & 4 & 2048 & 41145.32 & 154.14 & 78.18 \\
\midrule
NRV + Load + Wind + PV + NP & & & & & & & \\
& 300 & 2 & 256 & 63337.36 & 196.21 & 84.29 \\

9
Reports/Thesis/verslag.log
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@@ -1,4 +1,4 @@
This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) (preloaded format=pdflatex 2023.9.17) 10 MAY 2024 15:51
This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) (preloaded format=pdflatex 2023.9.17) 11 MAY 2024 02:04
entering extended mode
restricted \write18 enabled.
file:line:error style messages enabled.
@@ -1728,7 +1728,10 @@ Package pdftex.def Info: images/diffusion/results/intermediates/Testing Intermed
LaTeX Warning: `h' float specifier changed to `ht'.
[37] [38 <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 1_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 2_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 3_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 4_00000000.jpeg>]) (./sections/results/models/comparison.tex [39] [40]
[37]
Overfull \vbox (38.77904pt too high) has occurred while \output is active []
[38 <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 1_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 2_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 3_00000000.jpeg> <./images/diffusion/results/intermediates/Testing Intermediates 864_Sample intermediate 4_00000000.jpeg>]) (./sections/results/models/comparison.tex [39] [40]
File: images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_864.png Graphic file (type png)
<use images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_864.png>
Package pdftex.def Info: images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_864.png used on input line 46.
@@ -1792,7 +1795,7 @@ Here is how much of TeX's memory you used:
1141 hyphenation exceptions out of 8191
84i,16n,131p,2100b,5180s stack positions out of 10000i,1000n,20000p,200000b,200000s
</Users/victormylle/Library/texlive/2023/texmf-var/fonts/pk/ljfour/public/bbm/bbm12.600pk></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertinust1math/LibertinusT1Math.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertine/LinBiolinumT.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertine/LinBiolinumTB.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertine/LinLibertineT.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertine/LinLibertineTB.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/libertine/LinLibertineTI.pfb></usr/local/texlive/2023/texmf-dist/fonts/type1/public/stix/stix-mathcal.pfb>
Output written on verslag.pdf (46 pages, 8233151 bytes).
Output written on verslag.pdf (46 pages, 8233219 bytes).
PDF statistics:
632 PDF objects out of 1000 (max. 8388607)
468 compressed objects within 5 object streams

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24
src/training_scripts/autoregressive_quantiles.py
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@@ -2,7 +2,7 @@ from src.utils.clearml import ClearMLHelper
#### ClearML ####
clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
task = clearml_helper.get_task(task_name="AQR: Linear + Load + Wind + PV + QE + NP")
task = clearml_helper.get_task(task_name="AQR: Non Linear + Load + Wind + PV + QE + NP")
task.execute_remotely(queue_name="default", exit_process=True)
from src.policies.PolicyEvaluator import PolicyEvaluator
@@ -68,9 +68,9 @@ else:
model_parameters = {
"learning_rate": 0.0001,
"hidden_size": 256,
"num_layers": 16,
"num_layers": 8,
"dropout": 0.2,
"time_feature_embedding": 2,
"time_feature_embedding": 5,
}
model_parameters = task.connect(model_parameters, name="model_parameters")
@@ -89,17 +89,17 @@ time_embedding = TimeEmbedding(
# dropout=model_parameters["dropout"],
# )
# non_linear_model = NonLinearRegression(
# time_embedding.output_dim(inputDim),
# len(quantiles),
# hiddenSize=model_parameters["hidden_size"],
# numLayers=model_parameters["num_layers"],
# dropout=model_parameters["dropout"],
# )
non_linear_model = NonLinearRegression(
time_embedding.output_dim(inputDim),
len(quantiles),
hiddenSize=model_parameters["hidden_size"],
numLayers=model_parameters["num_layers"],
dropout=model_parameters["dropout"],
)
linear_model = LinearRegression(time_embedding.output_dim(inputDim), len(quantiles))
# linear_model = LinearRegression(time_embedding.output_dim(inputDim), len(quantiles))
model = nn.Sequential(time_embedding, linear_model)
model = nn.Sequential(time_embedding, non_linear_model)
model.output_size = 1
optimizer = torch.optim.Adam(model.parameters(), lr=model_parameters["learning_rate"])

4
src/training_scripts/diffusion_training.py
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@@ -2,7 +2,7 @@ from src.utils.clearml import ClearMLHelper
clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
task = clearml_helper.get_task(
task_name="Diffusion Training: hidden_sizes=[2048, 2048, 2048, 2048] (300 steps), lr=0.0001, time_dim=8"
task_name="Diffusion Training: hidden_sizes=[2048, 2048, 2048] (300 steps), lr=0.0001, time_dim=8"
)
task.execute_remotely(queue_name="default", exit_process=True)
@@ -42,7 +42,7 @@ print("Input dim: ", inputDim)
model_parameters = {
"epochs": 15000,
"learning_rate": 0.0001,
"hidden_sizes": [2048, 2048, 2048, 2048],
"hidden_sizes": [2048, 2048, 2048],
"time_dim": 8,
}