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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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書誌詳細
主要な著者:	Zaim, Syarranur, Wan Yusoff, Wan Nur Syahidah, Mohamad, Nurul Najihah, Ahmad Radi, Noor Fadhilah, Yaziz, Siti Roslindar
フォーマット:	論文
言語:	English
出版事項:	UTM Press 2023
主題:	QA276 Mathematical Statistics
オンライン･アクセス:	http://irep.iium.edu.my/119185/6/119185_Forecasting%20of%20Electricity.pdf http://irep.iium.edu.my/119185/ https://matematika.utm.my/index.php/matematika/article/view/1512 https://doi.org/10.11113/matematika.v39.n3.1512
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