eprintid: 403
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/04/03
datestamp: 2023-11-09 15:16:02
lastmod: 2023-11-09 15:16:02
status_changed: 2023-11-09 15:14:29
type: conference_item
metadata_visibility: show
creators_name: Baharudin, Z.
creators_name: Kamel, N.
title: AR modified covariance in one week ahead short term load forecast
ispublished: pub
keywords: Autoregressive (AR); Autoregressive moving average (ARMA); Durbin; MAPE; MCOV; Short term load forecasting (STLF), Argon; Electric power systems, Electric load forecasting
note: cited By 1; Conference of 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 ; Conference Date: 2 April 2008 Through 4 April 2008; Conference Code:75519
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 (AR) modified covariance (MCOV) in solving one week ahead of short term load forecasting. The proposed method is tested based from historical load data of Malaysia and New South Wales, Australia. The accuracy of proposed method is obtained and reported.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-62549095334&partnerID=40&md5=4b0fb61fe86dee4f152451aa8bd5bf0a
full_text_status: none
publication: Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
place_of_pub: Langkawi
pagerange: 204-209
refereed: TRUE
isbn: 9780889867321
citation:   Baharudin, Z. and Kamel, N.  (2008) AR modified covariance in one week ahead short term load forecast.  In: UNSPECIFIED.