Modeling of nonstationary time-series data. Part II. Dynamic periodic trends

International Journal of Electrical Power and Energy System

Volumn 23, Issue 1, 2001, Pages 63-68

  Barakat, E H ^a  

^a Technical Studies Department   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD DISPATCHING; ELECTRIC LOAD DISTRIBUTION; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; MATHEMATICAL MODELS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

NONLINEAR REGRESSION METHOD; NONSTATIONARY TIME SERIES ANALYSIS;

ELECTRIC POWER SYSTEMS;

EID: 0035153396     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(00)00035-1     Document Type: Article

References (5)

1. CIGRE working group 03 of Study Committee 37 Report; Methods of forecasting demand for electricity, Paris, 1987.
2. Load forecasting bibliography Phase I. IEEE Transaction on Power Systems. 99:1980;53-58.
3. Barakat E.H., Qayyum M.A., Hamid M.N., Al-Rashed S.A. Short term peak demand forecasting in fast developing utility with inherent dynamic load characteristic. IEEE Transaction on Power Systems. 5:(3):1990;813-829.
4. Barakat E.H., Al-Rashed S.A. Social, Environmental and economic constraints affecting power and energy requirements in fast developing areas. IEE Power Engineering Journal. 7:(4):1993.
5. Pandit S.M., Wu S.M. Time series and system analysis with applications. 1993;:1983;Wiley, New York. (reprinted by Krieger).