Updated non autoregressive images in thesis
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@@ -322,19 +322,17 @@ Because of error propagation in the autoregressive model, the outputted quantile
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% figure with 2 models compared (left with 4 row examples and right with 4 row examples), autoregressive vs non-autoregressive
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% figure with 2 models compared (left with 4 row examples and right with 4 row examples), autoregressive vs non-autoregressive
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\begin{figure}[ht]
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\begin{figure}[ht]
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\centering
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\centering
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\begin{adjustbox}{width=1.3\textwidth,center}
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\begin{subfigure}[b]{0.49\textwidth}
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\begin{subfigure}[b]{0.7\textwidth}
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\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
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\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
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\caption{Autoregressive model}
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\caption{Autoregressive model}
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\label{fig:linear_model_sample_comparison_autoregressive}
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\label{fig:linear_model_sample_comparison_autoregressive}
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\end{subfigure}
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\end{subfigure}
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\hfill
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\hfill
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\begin{subfigure}[b]{0.49\textwidth}
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\begin{subfigure}[b]{0.7\textwidth}
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\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
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\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
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\caption{Non-autoregressive model}
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\caption{Non-autoregressive model}
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\label{fig:linear_model_sample_comparison_non_autoregressive}
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\label{fig:linear_model_sample_comparison_non_autoregressive}
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\end{subfigure}
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\end{subfigure}
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\end{adjustbox}
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\caption{Comparison of the autoregressive and non-autoregressive linear models. The plots show the confidence intervals calculated from 1000 generated full-day NRV samples. The samples were generated using input features NRV, Load, Wind, PV, Net Position and the quarter embedding.}
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\caption{Comparison of the autoregressive and non-autoregressive linear models. The plots show the confidence intervals calculated from 1000 generated full-day NRV samples. The samples were generated using input features NRV, Load, Wind, PV, Net Position and the quarter embedding.}
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\label{fig:linear_model_sample_comparison}
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\label{fig:linear_model_sample_comparison}
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\end{figure}
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\end{figure}
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[19 <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_864.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_4320.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_6336.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_7008.png>]
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[19 <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_864.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_4320.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_6336.png> <./images/quantile_regression/aqr_linear_model_samples/AQR_NRV_Load_Wind_PV_NP_QE-Sample_7008.png>]
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File: images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Sample_864.png Graphic file (type png)
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File: images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Sample_864.png Graphic file (type png)
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Reports/Thesis/verslag.synctex.gz
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@@ -3,7 +3,7 @@ from src.utils.clearml import ClearMLHelper
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#### ClearML ####
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#### ClearML ####
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clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
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clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
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task = clearml_helper.get_task(
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task = clearml_helper.get_task(
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task_name="AQR: Linear Baseline + Load + PV + Wind + Net Position + Quarter"
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task_name="AQR: Linear Baseline + Load + PV + Wind + Net Position + Quarter (dim 5)"
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)
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)
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task.execute_remotely(queue_name="default", exit_process=True)
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task.execute_remotely(queue_name="default", exit_process=True)
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#### ClearML ####
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#### ClearML ####
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clearml_helper = ClearMLHelper(project_name="Thesis/NAQR: Linear")
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clearml_helper = ClearMLHelper(project_name="Thesis/NAQR: Linear")
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task = clearml_helper.get_task(task_name="NAQR: Linear (extra test)")
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task = clearml_helper.get_task(
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task_name="NAQR: Linear + Load + PV + Wind + Net Position"
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)
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task.execute_remotely(queue_name="default", exit_process=True)
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task.execute_remotely(queue_name="default", exit_process=True)
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from src.policies.PolicyEvaluator import PolicyEvaluator
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from src.policies.PolicyEvaluator import PolicyEvaluator
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@@ -27,16 +29,16 @@ from src.models.time_embedding_layer import TimeEmbedding
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data_config = DataConfig()
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data_config = DataConfig()
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data_config.NRV_HISTORY = True
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data_config.NRV_HISTORY = True
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data_config.LOAD_HISTORY = False
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data_config.LOAD_HISTORY = True
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data_config.LOAD_FORECAST = False
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data_config.LOAD_FORECAST = True
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data_config.WIND_FORECAST = False
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data_config.WIND_FORECAST = True
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data_config.WIND_HISTORY = False
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data_config.WIND_HISTORY = True
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data_config.PV_FORECAST = False
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data_config.PV_FORECAST = True
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data_config.PV_HISTORY = False
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data_config.PV_HISTORY = True
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data_config.NOMINAL_NET_POSITION = False
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data_config.NOMINAL_NET_POSITION = True
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data_config = task.connect(data_config, name="data_features")
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data_config = task.connect(data_config, name="data_features")
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