A python project that helps you optimize your power consumption based on statistics of your home and variable electricity rates.
Developed by: Kabir Mehra
The model in householdPower.py works on ARIMA forecasting (AutoRegression Integrated Moving Average).
The model in householdPower_Naive.py works on Naive forecasting strategies.
Clone, Download or fork the project and run it on IDLE with some pre requisites which are as follows:
numpy sklearn matplotlib pandas statsmodels.graphics.tsaplots
The model will automatically split the dataset into training and testing data.
Various attributes used for prediction are:
Global_active_power Global_reactive_power Voltage Global_intensity Sub_metering_1 Sub_metering_2 Sub_metering_3
Thanks. Hope you enjoy the project! :)