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Electricity load forecasting using hybrid of multiplicative double seasonal exponential smoothing model with artificial neural network

Electricity load forecasting often has many properties such as the nonlinearity, double seasonal cycles, and others those may be obstacles for the accuracy of forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing...

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書誌詳細
主要な著者:	Shukur, Osamah Basheer, Fadhil, Naam Salem, Lee, Muhammad Hisyam, Ahmad, Maizah Hura
フォーマット:	論文
出版事項:	Penerbit UTM 2014
主題:	Q Science
オンライン･アクセス:	http://eprints.utm.my/id/eprint/52643/ https://dx.doi.org/10.11113/jt.v69.3109
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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