eprintid: 201
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/02/01
datestamp: 2023-11-09 15:15:50
lastmod: 2023-11-09 15:15:50
status_changed: 2023-11-09 15:13:32
type: conference_item
metadata_visibility: show
creators_name: Baharudin, Z.
creators_name: Kamel, N.
title: One week ahead short term load forecasting
ispublished: pub
keywords: Electric power systems; Forecasting, Autoregressive (AR); Autoregressive moving average (ARMA); Burg; Durbin; MAPE; Short term load forecasting (STLF), Electric load forecasting
note: cited By 5; Conference of 7th IASTED International Conference on Power and Energy Systems ; Conference Date: 29 August 2007 Through 31 August 2007; Conference Code:74036
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 National Grid of Malaysia and load demand in New South Wales, Australia. 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.
date: 2007
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-56249089709&partnerID=40&md5=f9611d34ea6802d33ab7c385e660f4ea
full_text_status: none
publication: Proceedings of the IASTED International Conference on Energy and Power Systems
place_of_pub: Palma de Mallorca
pagerange: 91-96
refereed: TRUE
isbn: 9780889866898
citation:   Baharudin, Z. and Kamel, N.  (2007) One week ahead short term load forecasting.  In: UNSPECIFIED.