Title :
Applying Time-Series Regression to Load Forecasting Using Neuro-Fuzzy Techniques
Author :
Ghanbarian, M. ; Kavehnia, F. ; Askari, M.R. ; Mohammadi, A. ; Keivani, H.
Author_Institution :
Islamic Azad University, Kazeroon, Iran
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; 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 :
Power Engineering, Energy and Electrical Drives, 2007. POWERENG 2007. International Conference on
Conference_Location :
Setubal, Portugal
Print_ISBN :
978-1-4244-0895-5
Electronic_ISBN :
978-1-4244-0895-5
DOI :
10.1109/POWERENG.2007.4380205
