JGRimst/Loadshedding

Creating a neural network that will find the optimal resource allocation scheme needed to reduce loadshedding in South Africa # Section 1: Natural Language Processing The main code for this section can be found in the file DS344_Sentiment_Analysis. The data used in the code can be found in output.xlsx. The project report for this section is saved as Project Report # Section 2: Deep Learning Creating a neural network that will find the optimal resource allocation scheme needed to reduce loadshedding in South Africa Each ipynb file name defines what the code does, mainly is exploration on Data and or the different models The trained model can be found inside final_model Use source loadshedding_env/bin/activate to activate the env