DocumentCode
2058028
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
fYear
2007
fDate
12-14 April 2007
Firstpage
769
Lastpage
773
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/POWERENG.2007.4380205
Filename
4380205
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