Title :
Demand Forecasting Using Time Series Modelling and ANFIS Estimator
Author :
Mohammadi, S. ; Keivani, H. ; Bakhshi, M. ; Mohammadi, A. ; Askari, M.R. ; Kavehnia, F.
Author_Institution :
Islamic Azad Univ., Tehran
Abstract :
This paper provides an intelligence 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 behaviour of energy consumption for several future years. Several simulations have been arranged to examine the efficiency of method.
Keywords :
adaptive systems; fuzzy neural nets; fuzzy reasoning; learning (artificial intelligence); load forecasting; power system analysis computing; time series; ANFIS estimator; adaptive network training; adaptive neuro-fuzzy inference system; demand forecasting; energy consumption; intelligence network; load forecasting; time series modelling; Adaptive systems; Artificial neural networks; Demand forecasting; Economic forecasting; Load forecasting; Power system dynamics; Power system modeling; Power system planning; Power system security; Predictive models;
Conference_Titel :
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location :
Newcastle-upon-Tyne
Print_ISBN :
978-186135-342-9
DOI :
10.1109/UPEC.2006.367770
