buds-lab / building-prediction-benchmarking

An array of open source ML models applied to long-term hourly energy prediction for institutional buildings
http://www.budslab.org/
MIT License
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Implement models from EEMeter #5

Open cmiller8 opened 5 years ago

cmiller8 commented 5 years ago

So far, several sci-kit learn models have been implemented to the data sets.

Now we need to apply the prediction model from this library: http://eemeter.openee.io/

Please find the overview of the analysis so far here: https://www.overleaf.com/read/stqjjzttmrmc

You can see an example of the old EEMeter package implemented here: https://github.com/buds-lab/temporal-features-for-nonres-buildings-library/blob/master/07_EEMeter%20Models%20Creation.ipynb

Create a different Jupyter notebook than the Sci-kit learn notebooks to make this prediction analysis and create all the outputs in a similar way