Energy Forecasting using Deep Neural Network and a Flexible Revenue Loss

This repository was made when my team and I competed in the AI4Impact 2020 Datathon, and topped the leaderboard in terms of overall profits after a week or so of live trading in a simulated market. A comprehensive explanation of our modelling approach can be found here:
https://medium.com/@kristoforusbryant/energy-production-forecasting-using-deep-neural-networks-and-a-contract-aware-loss-df6b764097b7

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
data		data
models		models
results		results
utils		utils
CNN1D.ipynb		CNN1D.ipynb
LSTM-CNN_concat.ipynb		LSTM-CNN_concat.ipynb
LSTM.ipynb		LSTM.ipynb
README.md		README.md
compare_losses.ipynb		compare_losses.ipynb
compare_models.ipynb		compare_models.ipynb
split_train_test.ipynb		split_train_test.ipynb

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