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Materials Used
- All the experiments were done in Python on a system with a 6-cores, 12-threads Ryzen 5 3600 CPU, 16GB DDR4 RAM, and an NVIDIA GEFORCE GTX 1650 Super GPU with 1280 CUDA cores and 4GB GDDR6 VRAM.
- Neural Network was built using Google’s Tensorflow framework utilizing GPU’s CUDA cores.
- For the remaining two models Scikit-learn was used.
- For data cleaning and preprocessing, pandas was used.
- Solar irradiation was calculated using Pysolar.
- Numpy was used for various array operations.
- All the charts and graphs were presented using Matplotlib.