A literature review on daily demand forecasting using time series models
| Forecasting target | Model | Forecast interval | Data length | Reference |
|---|---|---|---|---|
| Electricity | ARIMA, HW | Daily | 1,460 days | Lee et al. (2013) |
| Food delivery order | SARIMA | Daily | 365 days | Yoon (2016) |
| Electricity | SARIMA | Daily | 1,460 days | Lee and Kim (2019) |
| Air cargo | SARIMA | Daily | 3,217 days | Min and Ha (2020) |
| Port volume | ARIMA | Daily | 2,799 days | Ha et al. (2021) |
| Forecasting target | Model | Forecast interval | Data length | Reference |
|---|---|---|---|---|
| Electricity | ARIMA, HW | Daily | ||
| Food delivery order | SARIMA | Daily | ||
| Electricity | SARIMA | Daily | ||
| Air cargo | SARIMA | Daily | ||
| Port volume | ARIMA | Daily |
Source(s): Yoo et al. (2022)
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