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ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES

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result
result
 
 
scripts
scripts
 
 
README.md
README.md
 
 
kd.ipynb
kd.ipynb
 
 
train_student.ipynb
train_student.ipynb
 
 
train_teacher.ipynb
train_teacher.ipynb
 
 

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ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES

Code Organization

All codes are written in python.

  • train_teacher.ipynb Trains the teacher model.
  • train_student.ipynb Trains the student model.
  • kd.ipynb Trains the student model with the help of the pre-trained teacher model utilizing novel knowledge distillation method.

.scripts/

  • saveResults.py Calculates loss, Creates results folder for particular training based on hyperparameters and time, Saves the results and diagrams.

  • imagetoTensor.py converts image to pytorch tensor for testing purposes.

  • saveThermalImage.py converts grayscale infrared image to thermal image using colormap. Used for the menuscript.

.results/

The output best_models, results and diagrams are stored here.

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ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES

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knowledge-distillation mobilenetv2 cnn-regression solar-irradiance-estimation infrared-sky-images

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