April 3, 2023
The YVR Energy Usage Forecast project aims to forecast energy consumption at the Vancouver International Airport (YVR) using time series modeling techniques. The project utilizes historical energy usage data, weather data, and several time series models to predict hourly energy consumption for future periods.
There are three types of models are tried out in this project: basic forecasting methods, exponential smoothing model (EST), and ARIMA model. The EST (MAA) is the final recommendation based on the model accuracy (lowest MSE) on test data and reasonability of visualized forecasts.
The project uses the following steps:
The dataset contains monthly energy usage data of YVR from January 1997 to December 2010.
The dataset contains the following variables:
| # | Variable | Definition |
|---|---|---|
| 1 | month | Month and year, e.g.: Nov-98 |
| 2 | energy | Energy use measured in thousands of kilowatt hours (kWh) |
| 3 | mean.temp | Mean monthly temperature outside (degrees Celsius) |
| 4 | total.area | Total area of all terminals (sq. m.) |
| 5 | total.passengers | Total number of passengers in thousands |
| 6 | domestic.passengers | Total number of domestic passengers (traveling within Canada) in thousands |
| 7 | US.passengers | Total number of passengers traveling between Canada and the US in thousands |
| 8 | international.passengers | Total number of passengers traveling between YVR and countries other than Canada/US |
Language : R
Libraries :