Forecasting of Electricity Demand in Malaysia with Seasonal Highly Volatile Characteristics using SARIMA – GARCH Model
Developing an accurate forecasting model for electricity demand plays a vital role in maximising the efficiency of the planning process in the power generation industries. The time series data of electricity demand in Malaysia is highly volatile with seasonal characteristics. This study aims to eval...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40160/1/Forecasting%20of%20Electricity%20Demand%20in%20Malaysia%20with%20Seasonal%20Highly%20Volatile.pdf http://umpir.ump.edu.my/id/eprint/40160/ https://doi.org/10.11113/matematika.v39.n3.1512 |
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