Short-term peak demand forecasting in fast developing utility with inherit dynamic load characteristics; Application of classical time-series methods

The intrinsic uncertainties associated with demand forecasting become more acute when it is required to provide an invaluable dimension to the decision making process in a period characterized by fast and dynamic changes. In this paper, estimates of the peak demand, pertaining to a typical fast grow...

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Bibliographic Details
Published inIEEE transactions on power systems Vol. 5:3
Main Authors Barakat, E.H., Qayyum, M.A., Hamed, M.N., Al Rashed, S.A.
Format Journal Article
LanguageEnglish
Published United States 01.08.1990
Subjects
296000 - Energy Planning & Policy- Electric Power
DYNAMIC LOADS
ELECTRIC UTILITIES
ENERGY PLANNING, POLICY AND ECONOMY
FORECASTING
LOAD ANALYSIS
LOAD MANAGEMENT
MANAGEMENT
MATHEMATICS
PEAK LOAD
PUBLIC UTILITIES
TIME-SERIES ANALYSIS
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Summary:The intrinsic uncertainties associated with demand forecasting become more acute when it is required to provide an invaluable dimension to the decision making process in a period characterized by fast and dynamic changes. In this paper, estimates of the peak demand, pertaining to a typical fast growing system with inherit dynamic load characteristics, have been derived from three classical time-series forecasting methods. These demand estimates are compared with corresponding actual values.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.65910