Title :
Long term demand forecast for an electricity distribution network
Author :
Kavehnia, F. ; Keivani, H. ; Mohammadi, Arash
Author_Institution :
Branch of Kazeroon, Islamic Azad Univ., Tehran
Abstract :
This paper provides an intelligent method for medium and long-term energy demand forecasting of a complicated electrical system. In this method we use energy data of several past years to train an adaptive network based on fuzzy inference system (ANFIS). We use this intelligence network to estimate the time series behavior of energy consumption for several future years. Several simulations have been arranged to examine the efficiency of method.
Keywords :
load forecasting; power distribution economics; power distribution planning; electricity demand saturation limit; electricity distribution network; load distribution pattern estimation; long term demand forecast; planning network asset investment; policy-guided approach; scenario analysis; Cities and towns; Demand forecasting; Econometrics; Economic forecasting; Extrapolation; Land use planning; Load forecasting; Predictive models; Spatial resolution; Substations; Geographic information systems; Load forecasting; Power distribution planning;
Conference_Titel :
Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities
Conference_Location :
Perth, WA
Print_ISBN :
978-0-646-49488-3
Electronic_ISBN :
978-0-646-49499-1
DOI :
10.1109/AUPEC.2007.4548094
