Link to the Challenge --> IEEE-CIS TECHNICAL CHALLENGE ON ENERGY PREDICTION FROM SMART METER DATA
Instructions to run the IPYNB file:
- 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' - The predictions made by the learning models are also saved in the data folder.
- Run the IPYNB file on a computer with python3 installed and the following external libraries pre-installed:
numpy
pandas
matplotlib
statsmodels
pmdarima
fbprophet