Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/4529
Title: Parametric and artificial intelligence based methods for forecasting short term electricity
Authors: Norizan Mohamed
Keywords: TJ 216 .N6 2011
Norizan Mohamed
Tesis Universiti Teknologi Malaysia 2011
Issue Date: May-2011
Publisher: [Johor]: Universiti Teknologi Malaysia
Abstract: Kajian ini bertujuan membina model terbaik bagi penelahan tenaga elektrik di Malaysia. Untuk mendapatkan model terbaik, data setiap setengah jam tenaga elektrik bagi tempoh setahun digunakan dengan peratus purata ralat mutlak (PPRM) sebagai ukuran kejituan telahan. Tiga kaedah iaitu model Purata Bergerak Terkamir Autoregresi Dua Musim (PBTADM), model rangkaian neural pelbagai lapis suap hadapan dan model gabungan dipertimbangkan.
URI: http://hdl.handle.net/123456789/4529
Appears in Collections:Staff Thesis

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