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Volumn , Issue , 2009, Pages 35-40

Long term electrical load forecasting via a neurofuzzy model

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRICAL LOAD FORECASTING; LOAD DATA; LOAD DEMAND; LOCALLY LINEAR MODEL TREES; LONG TERM; LONG-TERM FORECASTING; LONG-TERM LOAD FORECASTING; MULTI LAYER PERCEPTRON; NEURAL MODELS; NEURO-FUZZY MODEL; NEURO-FUZZY MODELING; NEW APPROACHES; NONLINEAR TIME SERIES;

EID: 74549162822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSICC.2009.5349440     Document Type: Conference Paper
Times cited : (16)

References (17)
  • 2
    • 74549203091 scopus 로고    scopus 로고
    • A Novel Approach to Long Term Load Forecasting Where Functional Relations and Impact Relations Coexist
    • N.X.Jia, R.Yokoyama, Y.C.Zhou," A Novel Approach to Long Term Load Forecasting Where Functional Relations and Impact Relations Coexist" ,2008 IEEE.
    • 2008 IEEE
    • Jia, N.X.1    Yokoyama, R.2    Zhou, Y.C.3
  • 3
    • 44349138737 scopus 로고    scopus 로고
    • A. H. Vahabie, M. M. Rezaei Yousefi,B. N. Araabi and C.Lucas,Mutual Information Based Input Selection in Neuro-Fuzzy Modeling for Short Term Load Forecasting of Iran National Power System, IEEE International Conference on Control and Automation Guangzhou, CHINA- May 30 to June 1, 2007.
    • A. H. Vahabie, M. M. Rezaei Yousefi,B. N. Araabi and C.Lucas,"Mutual Information Based Input Selection in Neuro-Fuzzy Modeling for Short Term Load Forecasting of Iran National Power System", IEEE International Conference on Control and Automation Guangzhou, CHINA- May 30 to June 1, 2007.
  • 4
    • 74549194905 scopus 로고    scopus 로고
    • L. Ljung, System Identification - Theory for User, Prentice - Hall, Englewood CliPs, NJ, 1987.Haykin, S.: Neural Networks: A Comprehensive Foundation, MacMillan, New York, 1994.
    • L. Ljung, System Identification - Theory for User, Prentice - Hall, Englewood CliPs, NJ, 1987.Haykin, S.: Neural Networks: A Comprehensive Foundation, MacMillan, New York, 1994.
  • 6
    • 34249097703 scopus 로고    scopus 로고
    • Extracting the main patterns of natural time series for longterm neuro fuzzy prediction
    • doi: 10.1007/s00521-006-0062-x, Aug
    • A. Gholipour, C. Lucas, B. N. Araabi, M. Mirmomeni, and M.Shafiee, "Extracting the main patterns of natural time series for longterm neuro fuzzy prediction," Neural Computing and Applications, doi: 10.1007/s00521-006-0062-x, Aug. 2006.
    • (2006) Neural Computing and Applications
    • Gholipour, A.1    Lucas, C.2    Araabi, B.N.3    Mirmomeni, M.4    Shafiee, M.5
  • 10
    • 74549203703 scopus 로고    scopus 로고
    • Ummuhan Basaran Filik1, Mehmet Kurban,A New Approach for the Short-Term Load Forecasting with Autoregressive and Artificial Neural Network Models, International Journal of Computational Intelligence Research. ISSN 0973-1873 3, No.1 (2007), pp. 66-71
    • Ummuhan Basaran Filik1, Mehmet Kurban,"A New Approach for the Short-Term Load Forecasting with Autoregressive and Artificial Neural Network Models", International Journal of Computational Intelligence Research. ISSN 0973-1873 Vol.3, No.1 (2007), pp. 66-71
  • 12
    • 74549221213 scopus 로고    scopus 로고
    • Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse, Methodology for long-term prediction of time series, 2007 Elsevier.
    • Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse," Methodology for long-term prediction of time series", 2007 Elsevier.
  • 17
    • 0019537951 scopus 로고
    • Toward a modern theory of adaptive networks:expectation and prediction
    • R.S. Sutton, A.G. Barto, Toward a modern theory of adaptive networks:expectation and prediction, Psychol. Rev. 88 (1981) 135-170.
    • (1981) Psychol. Rev , vol.88 , pp. 135-170
    • Sutton, R.S.1    Barto, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.