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Run timeseries.py 
Automatically train base on the historical winter data and test on the December data of 2008

Comment the line 128, 135, 136 and uncomment the line 127, 133, 134 you can train the model on data of Jan to Nov of 2008 and test on the same dataset(Dec of 2008)

original data is in data fold

The output and calculated Metrics of 2 experiments are put in 2 results folders respectively.

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Using LSTM to predict the energy consumption of one month in 2008

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