eprintid: 140
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/40
datestamp: 2023-11-09 15:15:46
lastmod: 2023-11-09 15:15:46
status_changed: 2023-11-09 15:13:24
type: conference_item
metadata_visibility: show
creators_name: Kamel, N.
creators_name: Baharudin, Z.
title: Short term load forecast using burg autoregressive technique
ispublished: pub
keywords: Autoregressive (AR); Autoregressive moving average (ARMA); Burg; MAPE; Short term load forecasting (STLF), Electric power systems; Forecasting, Electric load forecasting
note: cited By 14; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
abstract: Short-term load forecasting plays an important role in planning and operation of power system. The accuracy of this forecasted value is necessary for economically efficient operation and also for effective control. This paper describes a method of autoregressive Burg in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of Malaysia Grid system. The accuracy of proposed method, i.e., the forecast error, which is the difference between the forecast value and actual value of the load, is obtained and reported. ©2007 IEEE.
date: 2007
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049108070&doi=10.1109%2fICIAS.2007.4658519&partnerID=40&md5=a0b9dcd7648b2a19ce0aa23193948b61
id_number: 10.1109/ICIAS.2007.4658519
full_text_status: none
publication: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
place_of_pub: Kuala Lumpur
pagerange: 912-916
refereed: TRUE
isbn: 1424413559; 9781424413553
citation:   Kamel, N. and Baharudin, Z.  (2007) Short term load forecast using burg autoregressive technique.  In: UNSPECIFIED.