Title : 
Unified weekly peak load forecasting for fast growing power system
         
        
            Author : 
Elrazaz, Z.S. ; Mazi, A.A.
         
        
            Author_Institution : 
Coll. of Eng., King Saud Univ., Riyadh, Saudi Arabia
         
        
        
        
        
        
        
            Abstract : 
Forecasting demand and energy for power systems in developing countries is a difficult task; the difficulty stems from shortage of appropriate data and is also due to the high growth rate of both electric demand and load related variables. The authors present a unified forecasting methodology based on the decomposition of weekly loads into several components for a fast-growing power system. The data have been treated in a different way from the conventional one to account for the dynamic load behaviour.<>
         
        
            Keywords : 
load forecasting; dynamic load behaviour; fast growing power system; load decomposition; weekly peak load forecasting; Load forecasting;
         
        
        
            Journal_Title : 
Generation, Transmission and Distribution, IEE Proceedings C