Methodology for weekly load forecasting

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 methodo...

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Bibliographic Details
Published in:IEEE transactions on power systems 1998-11, Vol.13 (4), p.1548-1555
Main Authors: Barakat, E.H., Al-Qasem, J.M.
Format: Article
Language:English
Subjects:
Applied sciences
Cooling
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Load forecasting
Load modeling
Operation. Load control. Reliability
Operational research and scientific management
Operational research. Management science
Planning. Forecasting
Power networks and lines
Power system modeling
Power system simulation
Predictive models
Scattering
Space heating
Temperature
Weather forecasting
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Description
Summary: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.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.736304