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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书目详细资料
Main Authors: Syarranur, Zaim, Wan Nur Syahidah, Wan Yusoff, Nurul Najihah, Mohamad, Noor Fadhilah, Ahmad Radi, Siti Roslindar, Yaziz
格式: 文件
语言:English
出版: Penerbit UTM 2023
主题:
在线阅读:http://umpir.ump.edu.my/id/eprint/40160/1/Forecasting%20of%20Electricity%20Demand%20in%20Malaysia%20with%20Seasonal%20Highly%20Volatile.pdf