메뉴 건너뛰기




Volumn , Issue , 2013, Pages 2020-2025

Fuzzy demand forecasting in a predictive control strategy for a renewable-energy based microgrid

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY NEURAL NETWORKS; RENEWABLE ENERGY RESOURCES;

EID: 84893334907     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2013.6669489     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 3
    • 60149107687 scopus 로고    scopus 로고
    • Applying wavelets to short-term load forecasting using pso-based neural networks
    • Z.A. Bashir, M.E. El-Hawary. Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks. IEEE Transaction on power systems 24(1):20-27, 2009.
    • (2009) IEEE Transaction on Power Systems , vol.24 , Issue.1 , pp. 20-27
    • Bashir, Z.A.1    El-Hawary, M.E.2
  • 4
    • 76649110223 scopus 로고    scopus 로고
    • Short-term load forecasting using fuzzy inductive reasoning and evolutionary algorithms
    • V.H Hinojosa, A Hoese. Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms. IEEE Transactions on Power Systems 25(1):565-574, 2010.
    • (2010) IEEE Transactions on Power Systems , vol.25 , Issue.1 , pp. 565-574
    • Hinojosa, V.H.1    Hoese, A.2
  • 5
    • 78649970944 scopus 로고    scopus 로고
    • Short-term load forecast of microgrid by a new bilevel prediction strategy
    • N. Amjady, F. Keynia, H. Zareipour. Short-Term Load Forecast of Microgrid by a New Bilevel Prediction Strategy. IEEE Transactions on Smart Grid 1(3):282-294, 2010.
    • (2010) IEEE Transactions on Smart Grid , vol.1 , Issue.3 , pp. 282-294
    • Amjady, N.1    Keynia, F.2    Zareipour, H.3
  • 6
    • 0036902926 scopus 로고    scopus 로고
    • Takagi-sugeno fuzzy modeling incorporating input variables selection
    • M. Hadjili, V. Wertz. Takagi-Sugeno Fuzzy Modeling Incorporating Input Variables Selection. IEEE Trans. Fuzzy Sys 10:728-742, 2002.
    • (2002) IEEE Trans. Fuzzy Sys , vol.10 , pp. 728-742
    • Hadjili, M.1    Wertz, V.2
  • 8
    • 45749116590 scopus 로고    scopus 로고
    • Enhanced fuzzy system models with improved fuzzy clustering algorithm
    • A. Celikyilmaz, I. Burhan. Enhanced Fuzzy System Models with Improved Fuzzy Clustering Algorithm. IEEE Transactions on Fuzzy Systems 16(1):779-794, 2008.
    • (2008) IEEE Transactions on Fuzzy Systems , vol.16 , Issue.1 , pp. 779-794
    • Celikyilmaz, A.1    Burhan, I.2
  • 9
    • 0036791593 scopus 로고    scopus 로고
    • Modified gath-geva fuzzy clustering for identification of takagi-sugeno fuzzy models
    • J. Abonyi, R. Babuska, F. Szeifert. Modified Gath-Geva Fuzzy Clustering for Identification of Takagi-Sugeno Fuzzy Models. IEEE Transactions on Systems, man and cybernetics 32(1):612-621, 2002.
    • (2002) IEEE Transactions on Systems, Man and Cybernetics , vol.32 , Issue.1 , pp. 612-621
    • Abonyi, J.1    Babuska, R.2    Szeifert, F.3
  • 10
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • T. Takagi, M. Sugeno. Fuzzy Identification of Systems and its Applications to Modeling and Control. IEEE Transactions on Systems, Man and Cybernetics SMC-15(1):116-132, 1985.
    • (1985) IEEE Transactions on Systems, Man and Cybernetics SMC , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 11
    • 70349479422 scopus 로고    scopus 로고
    • On lyapunov stability of impulsive takagi-sugeno fuzzy systems
    • V.S Denisengo, A.A Martynyuk, V.I Slynko. On Lyapunov Stability of Impulsive Takagi-Sugeno Fuzzy Systems. Nonlinear Oscillations 11(4):505-520, 2008.
    • (2008) Nonlinear Oscillations , vol.11 , Issue.4 , pp. 505-520
    • Denisengo, V.S.1    Martynyuk, A.A.2    Slynko, V.I.3
  • 12
    • 80051499182 scopus 로고    scopus 로고
    • A new fuzzy lyapunov function for relaxed stability condition of continuous-time takagi-sugeno fuzzy systems
    • D. Lee, J. Park, Y. Joo. A New Fuzzy Lyapunov Function for Relaxed Stability Condition of Continuous-Time Takagi-Sugeno Fuzzy Systems. IEEE Trans. on Fuzzy Systems 19(4): 785-791, 2011.
    • (2011) IEEE Trans. on Fuzzy Systems , vol.19 , Issue.4 , pp. 785-791
    • Lee, D.1    Park, J.2    Joo, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.