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.