Link to the Challenge --> IEEE-CIS TECHNICAL CHALLENGE ON ENERGY PREDICTION FROM SMART METER DATA

Instructions to run the IPYNB file:

1. The required dataset can be downloaded from the link to the challenge and should be placed in a folder named data in the same working directory.
   path to consumption.csv --> download from this link
   path to addInfo.csv --> 'data/addInfo.csv'
   path to weather-min.csv --> 'data/weather-min.csv'
   path to weather-max.csv --> 'data/weather-max.csv'
   path to weather-avg.csv --> 'data/weather-avg.csv'
   
2. The predictions made by the learning models are also saved in the data folder.
3. Run the IPYNB file on a computer with python3 installed and the following external libraries pre-installed:
   numpy
   pandas
   matplotlib
   statsmodels
   pmdarima
   fbprophet