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

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 accurate forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing model...

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書目詳細資料
主要作者:	Fadhil, Naam Salem
格式:	Thesis
出版:	2013
主題:	QC Physics
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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