A case study on modelling and forecasting electricity demand data using double seasonal arima
The substantial electricity demand data necessitates modelling and forecasting using an extension of the Seasonal Autoregressive Integrated Moving Average (SARIMA), known as Double SARIMA (DSARIMA). DSARIMA is suitable since the electricity data exhibits two seasonalities. However, researchers often...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Pushpa Publishing House
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45337/ |