hackenergy
HackZurich18 Alpiq Energy Challenge
We performed forcasting over multiple timeseries using linear regression and RNN, with some good results in the part of consumption, but unfortunately we did not manage to solve the optimization part. To train the RNN we followed a guide (https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/).
Built With
- jupyter-notebook
- python
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