DocumentCode :
1454042
Title :
Methodology for weekly load forecasting
Author :
Barakat, E.H. ; Al-Qasem, J.M.
Author_Institution :
Saudi Consolidated Electr. Co., Al Riyadh, Saudi Arabia
Volume :
13
Issue :
4
fYear :
1998
fDate :
11/1/1998 12:00:00 AM
Firstpage :
1548
Lastpage :
1555
Abstract :
In this paper, a new modeling approach for long range weekly load forecasting is described. Performance of the proposed methodology is verified with simulations of actual data pertaining to the Riyadh fast developing power system operating in the central part of Saudi Arabia. Validity of the methodology is demonstrated by comparing the forecasts obtained from this approach with corresponding ones produced by established time series methods. Sensitivity of the demand forecast to changes in some variables is also discussed
Keywords :
load forecasting; power system planning; Saudi Arabia; long range weekly load forecasts; modeling approach; prediction performance; time series methods; variable changes sensitivity; weekly power system load forecasting methodology; Cooling; Load forecasting; Load modeling; Power system modeling; Power system simulation; Predictive models; Scattering; Space heating; Temperature; Weather forecasting;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.736304
Filename :
736304
Link To Document :
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