Forecasting of Electricity Demand in Malaysia with Seasonal Highly Volatile Characteristics using SARIMA – GARCH Model

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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Bibliografiska uppgifter
Huvudupphovsmän: Syarranur, Zaim, Wan Nur Syahidah, Wan Yusoff, Nurul Najihah, Mohamad, Noor Fadhilah, Ahmad Radi, Siti Roslindar, Yaziz
Materialtyp: Artikel
Språk:English
Publicerad: Penerbit UTM 2023
Ämnen:
QA Mathematics
QA75 Electronic computers. Computer science
Länkar:http://umpir.ump.edu.my/id/eprint/40160/1/Forecasting%20of%20Electricity%20Demand%20in%20Malaysia%20with%20Seasonal%20Highly%20Volatile.pdf

Internet

http://umpir.ump.edu.my/id/eprint/40160/1/Forecasting%20of%20Electricity%20Demand%20in%20Malaysia%20with%20Seasonal%20Highly%20Volatile.pdf

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