This code was used by Team Runtime Terror for NTU-AI4Impact Datathon.
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Coded using Python and Smojo on the Autocaffe platform.
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Energy and temperature data of Schneider Electric Energy Consumption of a single building was extracted from Autocaffe servers.
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The extracted data and the list of public holidays were used for preliminary data analysis and feature selection and engineering.
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Difference neural networks were trained and used for energy forecasting on Smojo.
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Medium Article link: https://medium.com/@mypatronusisacheetah7/schneider-electric-energy-consumption-time-series-forecasting-6e140eb169a8
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YouTube link: https://www.youtube.com/watch?v=qZuC-wVItAY