TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-56249089709&partnerID=40&md5=f9611d34ea6802d33ab7c385e660f4ea
EP  - 96
CY  - Palma de Mallorca
N2  - 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.
ID  - scholars201
N1  - 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
AV  - none
TI  - One week ahead short term load forecasting
Y1  - 2007///
KW  - Electric power systems; Forecasting
KW  -  Autoregressive (AR); Autoregressive moving average (ARMA); Burg; Durbin; MAPE; Short term load forecasting (STLF)
KW  -  Electric load forecasting
SP  - 91
A1  - Baharudin, Z.
A1  - Kamel, N.
SN  - 9780889866898
ER  -