ai4impact Datathon 2020: Energy Demand Forecasting
Contents:
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Raw_Data: folder containing the raw csv datafiles - data.csv: energy consumption data - wx1, wx2, wx3, wx4.csv: temperature data recorded by weather stations wx1, wx2, wx3 and wx4 T/N: date range for data in wx4 is out of date range for all the other data files
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archived: folder of very early preliminary analyses
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EDA.ipynb: Jupyter notebook for exploratory data analysis - checking for data holes - analysis of monthly, weekly, daily, holiday data for energy consumption and temperature data
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Avg_Year_Data.ipynb: graphs for 2014-2016 average weekly temperature, average daily energy consumption, merged power & temperature data from all 4 weather stations
For a more detailed analysis of our data, methodology and results, check out our Medium article! https://medium.com/@cluelesscuriouscoders/energy-demand-forecasting-13e3f43dc4bb