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Added non-autoregresive non-linear results to thesis

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Victor Mylle
2024-05-05 02:17:04 +02:00
parent 75b35bb2c9
commit 177fa1ad86
10 changed files with 59 additions and 59 deletions
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20
src/training_scripts/non_autoregressive_quantiles.py
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@@ -2,7 +2,9 @@ from src.utils.clearml import ClearMLHelper
#### ClearML ####
clearml_helper = ClearMLHelper(project_name="Thesis/NAQR: Non-Linear")
task = clearml_helper.get_task(task_name="NAQR: Non-Linear (2 - 256)")
task = clearml_helper.get_task(
task_name="NAQR: Non-Linear (8 - 512) + NRV + LOAD + PV + WIND + NP"
)
task.execute_remotely(queue_name="default", exit_process=True)
from src.policies.PolicyEvaluator import PolicyEvaluator
@@ -27,16 +29,16 @@ from src.models.time_embedding_layer import TimeEmbedding
data_config = DataConfig()
data_config.NRV_HISTORY = True
data_config.LOAD_HISTORY = False
data_config.LOAD_FORECAST = False
data_config.LOAD_HISTORY = True
data_config.LOAD_FORECAST = True
data_config.WIND_FORECAST = False
data_config.WIND_FORECAST = True
data_config.WIND_HISTORY = True
data_config.PV_FORECAST = False
data_config.PV_HISTORY = False
data_config.PV_FORECAST = True
data_config.PV_HISTORY = True
data_config.NOMINAL_NET_POSITION = False
data_config.NOMINAL_NET_POSITION = True
data_config = task.connect(data_config, name="data_features")
@@ -64,8 +66,8 @@ else:
model_parameters = {
"learning_rate": 0.0001,
"hidden_size": 256,
"num_layers": 2,
"hidden_size": 512,
"num_layers": 8,
"dropout": 0.2,
}