메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1015-1019

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

Author keywords

combined LUBE; interactive fuzzy satisfying method; uncertainty; wind power forecast

Indexed keywords

ELECTRIC POWER GENERATION; PARTICLE SWARM OPTIMIZATION (PSO); STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WIND POWER;

EID: 84908480576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2014.6889459     Document Type: Conference Paper
Times cited : (12)

References (29)
  • 2
    • 84865593912 scopus 로고    scopus 로고
    • Impact of thermal recovery and hydrogen production of fuel cell power plants on distribution feeder Reconfiguration
    • T. Niknam, A. Kavousi Fard, "Impact of thermal recovery and hydrogen production of fuel cell power plants on distribution feeder Reconfiguration", IET GTD, vol. 6, no. 9, pp. 831-843, 2012.
    • (2012) IET GTD , vol.6 , Issue.9 , pp. 831-843
    • Niknam, T.1    Kavousi Fard, A.2
  • 3
    • 84876716385 scopus 로고    scopus 로고
    • Consideration effect of uncertainty in the optimal energy management of renewable micro-grids including storage devices
    • A. Baziar, A. Kavousi Fard, "Consideration Effect of Uncertainty in the Optimal Energy Management of Renewable Micro-Grids including Storage Devices", Renewable Energy, vol. 59, pp. 158-166, 2013.
    • (2013) Renewable Energy , vol.59 , pp. 158-166
    • Baziar, A.1    Kavousi Fard, A.2
  • 4
    • 84893959703 scopus 로고    scopus 로고
    • A novel self adaptive modification approach based on bat algorithm for optimal management of renewable MG
    • A. Baziar, A. Kavoosi-Fard, J. Zare, "A novel self adaptive modification approach based on bat algorithm for optimal management of renewable MG", Journal of Intelligent Learning Systems and Applications, vol. 5, pp. 11-18, 2013.
    • (2013) Journal of Intelligent Learning Systems and Applications , vol.5 , pp. 11-18
    • Baziar, A.1    Kavoosi-Fard, A.2    Zare, J.3
  • 5
    • 84891415665 scopus 로고    scopus 로고
    • Multi-objective stochastic distribution feeder reconfiguration from the reliability point of view
    • A. Kavousi-Fard, T. Niknam, "Multi-Objective Stochastic Distribution Feeder Reconfiguration from the Reliability Point of View", Energy, vol. 64, pp. 342-354, 2013.
    • (2013) Energy , vol.64 , pp. 342-354
    • Kavousi-Fard, A.1    Niknam, T.2
  • 6
    • 84897731277 scopus 로고    scopus 로고
    • A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines
    • R. Sedaghati, A. Kavousi-Fard, "A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines", Journal of Intelligent and Fuzzy Systems 2013. DOI: 10.3233/IFS-130850
    • (2013) Journal of Intelligent and Fuzzy Systems
    • Sedaghati, R.1    Kavousi-Fard, A.2
  • 7
    • 84880255073 scopus 로고    scopus 로고
    • Prediction intervals for short-term wind farm power generation forecasts
    • in press
    • A. Khosravi, S. Nahavandi, and D. Creighton, "Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts", IEEE Trans. Sustain. Energy DOI: 10.1109/TSTE.2012.2232944, In Press.
    • IEEE Trans. Sustain. Energy
    • Khosravi, A.1    Nahavandi, S.2    Creighton, D.3
  • 8
    • 84859036543 scopus 로고    scopus 로고
    • AWNN-assisted wind power forecasting using feed-forward neural network
    • K. Bhaskar, S. N. Singh, "AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network", IEEE Trans Sustainable Sys, vol. 3, no. 2, pp. 306-315, 2012.
    • (2012) IEEE Trans Sustainable Sys , vol.3 , Issue.2 , pp. 306-315
    • Bhaskar, K.1    Singh, S.N.2
  • 9
    • 33244491943 scopus 로고    scopus 로고
    • A comparison of a few statistical models for making quantile wind power forecasts
    • J. B. Bremnes, "A comparison of a few statistical models for making quantile wind power forecasts", Wind Energy, vol. 9, no. 1-2, pp. 3-11, 2006.
    • (2006) Wind Energy , vol.9 , Issue.1-2 , pp. 3-11
    • Bremnes, J.B.1
  • 10
    • 77954834717 scopus 로고    scopus 로고
    • Construction of optimal prediction intervals for load forecasting problems
    • Aug.
    • A. Khosravi, S. Nahavandi and D. Creighton, "Construction of Optimal Prediction Intervals for Load Forecasting Problems", IEEE Trans. on power systems, vol. 25, no. 3, pp. 1493-1503, Aug. 2010
    • (2010) IEEE Trans. on Power Systems , vol.25 , Issue.3 , pp. 1493-1503
    • Khosravi, A.1    Nahavandi, S.2    Creighton, D.3
  • 11
    • 14344255817 scopus 로고    scopus 로고
    • Probabilistic wind power forecasts using local quantile regression
    • J. B. Bremnes, "Probabilistic wind power forecasts using local quantile regression", Wind Energy, vol. 7, no. 1, pp. 47-54, 2004.
    • (2004) Wind Energy , vol.7 , Issue.1 , pp. 47-54
    • Bremnes, J.B.1
  • 12
    • 77958487600 scopus 로고    scopus 로고
    • Conditional prediction intervals of wind power generation
    • Nov.
    • P. Pinson and G. Kariniotakis, "Conditional prediction intervals of wind power generation", IEEE Trans. Power Syst., vol. 25, no. 4, pp. 1845-1856, Nov. 2010.
    • (2010) IEEE Trans. Power Syst. , vol.25 , Issue.4 , pp. 1845-1856
    • Pinson, P.1    Kariniotakis, G.2
  • 13
    • 84864110510 scopus 로고    scopus 로고
    • Very-short-term probabilistic forecasting of wind power with generalized logitnormal distributions
    • Aug.
    • P. Pinson, "Very-short-term probabilistic forecasting of wind power with generalized logitnormal distributions", J. Roy. Stat. Soc. C, App., vol. 61, no. 4, pp. 555-576, Aug. 2012.
    • (2012) J. Roy. Stat. Soc. C, App. , vol.61 , Issue.4 , pp. 555-576
    • Pinson, P.1
  • 14
    • 33244496469 scopus 로고    scopus 로고
    • Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts
    • H. A. Nielsen, H. Madsen, and T. S. Nielsen, "Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts", Wind Energy, vol. 9, no. 1-2, pp. 95-108, 2006.
    • (2006) Wind Energy , vol.9 , Issue.1-2 , pp. 95-108
    • Nielsen, H.A.1    Madsen, H.2    Nielsen, T.S.3
  • 15
    • 0025519319 scopus 로고
    • A regression-based approach to short-term system load forecasting
    • Nov.
    • A. Papalexopoulos and T. Hesterberg, "A regression-based approach to short-term system load forecasting", IEEE Trans. Power Syst., vol. 5, no. 4, pp. 1535-1547, Nov. 1990.
    • (1990) IEEE Trans. Power Syst. , vol.5 , Issue.4 , pp. 1535-1547
    • Papalexopoulos, A.1    Hesterberg, T.2
  • 16
    • 0142228351 scopus 로고    scopus 로고
    • Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model
    • Jan.
    • H. M. Al-Hamadi and S. A. Soliman, "Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model", Elect. Power Syst. Res., vol. 68, no. 1, pp. 47-59, Jan. 2004.
    • (2004) Elect. Power Syst. Res. , vol.68 , Issue.1 , pp. 47-59
    • Al-Hamadi, H.M.1    Soliman, S.A.2
  • 18
    • 0036577946 scopus 로고    scopus 로고
    • A data mining approach for spatial modeling in small area load forecast
    • May
    • H. Wu and C. Lu, "A data mining approach for spatial modeling in small area load forecast", IEEE Trans. Power Syst., vol. 17, no. 2, pp. 516-521, May 2003.
    • (2003) IEEE Trans. Power Syst. , vol.17 , Issue.2 , pp. 516-521
    • Wu, H.1    Lu, C.2
  • 19
    • 0038755468 scopus 로고    scopus 로고
    • Next day peak load forecasting using neural network with adaptive learning algorithm based on similarity
    • T. Senjyu, H. Sakihara, Y. Tamaki, and K. Uezato, "Next day peak load forecasting using neural network with adaptive learning algorithm based on similarity", Elect. Mach. Power Syst., vol. 28, no. 7, pp. 613-624, 2000.
    • (2000) Elect. Mach. Power Syst. , vol.28 , Issue.7 , pp. 613-624
    • Senjyu, T.1    Sakihara, H.2    Tamaki, Y.3    Uezato, K.4
  • 20
    • 0029356764 scopus 로고
    • Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems
    • Aug.
    • K.-H. Kim, J.-K. Park, K.-J. Hwang, and S.-H. Kim, "Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems", IEEE Trans. Power Syst., vol. 10, no. 3, pp. 1534-1539, Aug. 1995.
    • (1995) IEEE Trans. Power Syst. , vol.10 , Issue.3 , pp. 1534-1539
    • Kim, K.-H.1    Park, J.-K.2    Hwang, K.-J.3    Kim, S.-H.4
  • 21
    • 84887827067 scopus 로고    scopus 로고
    • A new fuzzy-based feature selection and hybrid TLA-ANN modeling for short-term load forecasting
    • A. Kavousi-Fard, "A new fuzzy-based feature selection and hybrid TLA-ANN modeling for short-term load forecasting", Journal of Experimental & Theoretical Artificial Intelligence, vol. 25, no. 4, pp. 543-557, 2013.
    • (2013) Journal of Experimental & Theoretical Artificial Intelligence , vol.25 , Issue.4 , pp. 543-557
    • Kavousi-Fard, A.1
  • 22
    • 49249109272 scopus 로고    scopus 로고
    • RBF neural network and ANFIS-based short-term load forecasting approach in real-time price environment
    • Aug.
    • Z. Yun, Z. Quan, S. Caixin, L. Shaolan, L. Yuming, and S. Yang, RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment, IEEE Trans. on Power Systems, vol. 23, no. 3, 853-858, Aug. 2008
    • (2008) IEEE Trans. on Power Systems , vol.23 , Issue.3 , pp. 853-858
    • Yun, Z.1    Quan, Z.2    Caixin, S.3    Shaolan, L.4    Yuming, L.5    Yang, S.6
  • 23
    • 36348985409 scopus 로고    scopus 로고
    • Using adaptive network based fuzzy inference system to forecast regional electricity loads
    • Feb.
    • L.-C. Ying and M.-C. Pan, "Using adaptive network based fuzzy inference system to forecast regional electricity loads", Energy Convers. Manage., vol. 49, no. 2, pp. 205-211, Feb. 2008.
    • (2008) Energy Convers. Manage. , vol.49 , Issue.2 , pp. 205-211
    • Ying, L.-C.1    Pan, M.-C.2
  • 26
    • 80053644209 scopus 로고    scopus 로고
    • Prediction interval construction and optimization for adaptive neurofuzzy inference systems
    • Oct.
    • A. Khosravi, S. Nahavandi, and D. Creighton, "Prediction interval construction and optimization for adaptive neurofuzzy inference systems", IEEE Trans. Fuzzy Syst., vol. 19, no. 5, pp. 983-988, Oct. 2011.
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , Issue.5 , pp. 983-988
    • Khosravi, A.1    Nahavandi, S.2    Creighton, D.3
  • 27
    • 79952186591 scopus 로고    scopus 로고
    • A lower upper bound estimation method for construction of neural networkbased prediction intervals
    • Mar.
    • A. Khosravi, S. Nahavandi, D. Creighton, and A. F. Atiya, "A lower upper bound estimation method for construction of neural networkbased prediction intervals", IEEE Trans. Neural Netw., vol. 22, no. 3, pp. 337-346, Mar. 2011.
    • (2011) IEEE Trans. Neural Netw. , vol.22 , Issue.3 , pp. 337-346
    • Khosravi, A.1    Nahavandi, S.2    Creighton, D.3    Atiya, A.F.4
  • 29
    • 84884673573 scopus 로고    scopus 로고
    • Final report on unsw project for aemo to develop a prototype wind power forecasting tool for potential large rapid changes in wind power
    • Jan.
    • N. Cutler, H. Outhred, and I. MacGill, "Final report on unsw project for aemo to develop a prototype wind power forecasting tool for potential large rapid changes in wind power", The Centre for Energy and Environmental Markets, Jan. 2011.
    • (2011) The Centre for Energy and Environmental Markets
    • Cutler, N.1    Outhred, H.2    MacGill, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.