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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| tesis TJ 216 .N6 2011 Abstract.pdf | 1.26 MB | Adobe PDF | View/Open | |
| tesis TJ 216 .N6 2011 FullText.pdf Restricted Access | 21.95 MB | Adobe PDF | View/Open Request a copy |
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