Using adaptive network based fuzzy inference system to forecast regional electricity loads

Energy Conversion and Management

Volumn 49, Issue 2, 2008, Pages 205-211

  Ying, Li Chih ^a   Pan, Mei Chiu ^b  

^a CENTRAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NANHUA UNIVERSITY   (Taiwan)

Author keywords

ANFIS; Regional electricity load

Indexed keywords

ADAPTIVE SYSTEMS; ELECTRIC INDUSTRY; ERROR ANALYSIS; FUZZY INFERENCE; GENETIC ALGORITHMS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; HYBRID ELLIPSOIDAL FUZZY SYSTEMS FOR TIME SERIES FORECASTING; LOAD FORECASTING METHODS; REGIONAL ELECTRICITY LOAD;

ENERGY CONVERSION;

EID: 36348985409     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2007.06.015     Document Type: Article

References (18)

1. Bunn D.W., and Farmer E.D. Comparative models for electrical load forecasting (1985), John Wiley and Sons, New York
2. Saab S., Badr E., and Nasr G. Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon. Energy 26 (2001) 1-14
3. Chen J.F., Wang W.M., and Huang C.M. Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting. Electric Power Syst Res 34 (1995) 187-196
4. Taylor J.W., and Buizza R. Using weather ensemble predictions in electricity demand forecasting. Int J Forecasting 19 (2003) 57-70
5. Park J.H., Park Y.M., and Lee K.Y. Composite modeling for adaptive short-term load forecasting. IEEE Trans Power Syst 6 (1991) 450-457
6. Abdullah S., Mohamed A., and Magdi S. Neuro-short-term load forecast of the power system in Kuwait. Appl Math Model 21 (1997) 215-219
7. Chen C.S., Tzeng Y.M., and Hwang J.C. The application of artificial neural networks to substation load forecasting. Electric Power Syst Res 38 (1996) 153-160
8. Darbellay G.A., and Slama M. Forecasting the short-term demand for electricity-do neural networks stand a better chance. Int J Forecast 16 (2000) 71-83
9. Drezga I., and Rahman S. Short term load forecasting with local ANN predictors. IEEE Trans Power Syst 14 3 (1999) 844-850
10. Kalogirous S.A. Applications of artificial neural networks in energy systems-A review. Energ Convers Manage 40 10 (1999) 1073-1087
11. Kermanshahi B. Recurrent neural network for forecasting next 10 year loads of nine Japanese utilities. Neuro-computing 23 (1998) 125-133
12. Huang H.G., Hwang R.C., and Hsieh J.G. A new artificial intelligent park power load forecaster based on non-fixed neural networks. Electric Power Energ Syst 24 (2002) 245-250
13. Novak B. Superfast autoconfiguring artificial neural networks and their application to power systems. Electric Power Syst Res 35 (1995) 11-16
14. Al-Kandari A.M., Saliman S.A., and Wl-Hawary M.E. Fuzzy short-term electric load forecasting. Electric Power Energ Syst 26 (2004) 111-122
15. Hsu C.C., and Chen C.Y. Regional load forecasting in Taiwan - applications of artificial neural networks. Energ Convers Manage 44 (2003) 1941-1949
16. Pai P.F., and Hong W.C. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms. Electric Power Syst Res 74 (2005) 417-425
17. Pai P.F. Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads. Energ Convers Manage 47 15-16 (2006) 2283-2289
18. Jang J.S.R. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans Syst, Man, Cybernet 23 (1993) 665-685