GitHub - byuflowlab/cutler-2024-tilted-wake: Code and data used for results in "Introduction and Comparison of Deep Learning and Optimization Approaches to Analytical Wake Modeling of a Tilted Wind Turbine"

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Code and data used for results in "Introduction and Comparison of Deep Learning and Optimization Approaches to Analytical Wake Modeling of a Tilted Wind Turbine"

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Additonal_Optimization_Figures		Additonal_Optimization_Figures
DNN_training		DNN_training
c_000_5turb_tilt_base		c_000_5turb_tilt_base
c_000_sp7_1turb_hNormal_D126_tilt_base		c_000_sp7_1turb_hNormal_D126_tilt_base
c_000_sp7_3turb_hNormal_D126_tilt_base		c_000_sp7_3turb_hNormal_D126_tilt_base
c_001_5turb_tilt_25		c_001_5turb_tilt_25
c_001_sp7_1turb_hNormal_D126_tilt_-15		c_001_sp7_1turb_hNormal_D126_tilt_-15
c_001_sp7_1turb_hNormal_D126_tilt_2.5		c_001_sp7_1turb_hNormal_D126_tilt_2.5
c_001_sp7_3turb_hNormal_D126_tilt_25_25		c_001_sp7_3turb_hNormal_D126_tilt_25_25
c_002_5turb_tilt_25_25		c_002_5turb_tilt_25_25
c_002_sp7_1turb_hNormal_D126_tilt_-20		c_002_sp7_1turb_hNormal_D126_tilt_-20
c_002_sp7_1turb_hNormal_D126_tilt_7.5		c_002_sp7_1turb_hNormal_D126_tilt_7.5
c_002_sp7_3turb_hNormal_D126_tilt_25_neg5		c_002_sp7_3turb_hNormal_D126_tilt_25_neg5
c_003_sp7_1turb_hNormal_D126_tilt_-35		c_003_sp7_1turb_hNormal_D126_tilt_-35
c_003_sp7_1turb_hNormal_D126_tilt_12.5		c_003_sp7_1turb_hNormal_D126_tilt_12.5
c_003_sp7_1turb_hNormal_D126_tilt_25		c_003_sp7_1turb_hNormal_D126_tilt_25
c_003_sp7_3turb_hNormal_D126_tilt_neg5_25		c_003_sp7_3turb_hNormal_D126_tilt_neg5_25
c_005_sp7_1turb_hNormal_D126_tilt_10		c_005_sp7_1turb_hNormal_D126_tilt_10
.DS_Store		.DS_Store
Cable_DNN_plot.jl		Cable_DNN_plot.jl
DNN_Combined.jl		DNN_Combined.jl
DNN_data_collection.jl		DNN_data_collection.jl
DNN_data_collection_for_cross_stream_plots.jl		DNN_data_collection_for_cross_stream_plots.jl
DNN_data_collection_horizontal_model.jl		DNN_data_collection_horizontal_model.jl
DNN_plots.jl		DNN_plots.jl
Local_data_50turb_123.json.json		Local_data_50turb_123.json.json
Local_data_50turb_147.json.json		Local_data_50turb_147.json.json
Local_data_50turb_206.json.json		Local_data_50turb_206.json.json
Local_data_50turb_235.json.json		Local_data_50turb_235.json.json
Local_data_50turb_63.json.json		Local_data_50turb_63.json.json
Neural_net_graph.jl		Neural_net_graph.jl
Paper_figures_local_optimization.jl		Paper_figures_local_optimization.jl
Sigma_calculation_single_subtract.jl		Sigma_calculation_single_subtract.jl
Tilt_model_optimization_discreet_constantct.jl		Tilt_model_optimization_discreet_constantct.jl
Tilt_model_optimization_discreet_variable_CT.jl		Tilt_model_optimization_discreet_variable_CT.jl
Tilt_model_optimization_discreet_veer.jl		Tilt_model_optimization_discreet_veer.jl
Tilt_model_optimization_discreet_veer_plot_total_diff.jl		Tilt_model_optimization_discreet_veer_plot_total_diff.jl
Tilt_model_optimization_discreet_veer_plot_total_diff_MSE.jl		Tilt_model_optimization_discreet_veer_plot_total_diff_MSE.jl
Tilt_model_optimization_discreet_veer_powerinmind.jl		Tilt_model_optimization_discreet_veer_powerinmind.jl
Tilt_wake_model_DNN_google_colab.ipynb		Tilt_wake_model_DNN_google_colab.ipynb
calibrate_advanced.jl		calibrate_advanced.jl
calibrating.jl		calibrating.jl
comparison_with_opt_to_SOWFA_power.jl		comparison_with_opt_to_SOWFA_power.jl
load_DNN.jl		load_DNN.jl
neg15_3.8_DNN.jpg		neg15_3.8_DNN.jpg
split_method_figure.jl		split_method_figure.jl
test_script_during_opt.jl		test_script_during_opt.jl
windfarm_net.onnx		windfarm_net.onnx
x_acc.npy		x_acc.npy
x_acc_2500.npy		x_acc_2500.npy
x_acc_500_window_4.npy		x_acc_500_window_4.npy
x_acc_test.npy		x_acc_test.npy
x_acc_test_2500_3500.npy		x_acc_test_2500_3500.npy

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Code and data used for results in "Introduction and Comparison of Deep Learning and Optimization Approaches to Analytical Wake Modeling of a Tilted Wind Turbine"