메뉴 건너뛰기




Volumn 37, Issue 23, 2013, Pages 34-38

Improved short-term wind power forecasting method based on accumulative error correction

Author keywords

Back propagation (BP) neural network; Error prediction; Support vector machine (SVM); Wind power prediction

Indexed keywords

ACCUMULATIVE ERRORS; BACK PROPAGATION NEURAL NETWORKS; ERROR PREDICTION; INTERNAL CHARACTERISTICS; PREDICTION ACCURACY; SCHEDULING STRATEGIES; SHORT-TERM WIND POWER FORECASTING; WIND POWER PREDICTIONS;

EID: 84891498604     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: 10.7500/AEPS201210235     Document Type: Article
Times cited : (15)

References (17)
  • 2
    • 65549163847 scopus 로고    scopus 로고
    • Summarization of wind power prediction technology
    • GU Xingkai, FAN Gaofeng, WANG Xiaorong, et al. Summarization of wind power prediction technology[J]. Power System Technology, 2007, 31(2): 335-338.
    • (2007) Power System Technology , vol.31 , Issue.2 , pp. 335-338
    • Gu, X.1    Fan, G.2    Wang, X.3
  • 3
    • 84867585349 scopus 로고    scopus 로고
    • Overview on prediction methods of wind speed and wind power
    • HONG Cui, LIN Weiming, WEN Buying. Overview on prediction methods of wind speed and wind power[J]. Power System and Clean Energy, 2011, 27(1): 60-66.
    • (2011) Power System and Clean Energy , vol.27 , Issue.1 , pp. 60-66
    • Hong, C.1    Lin, W.2    Wen, B.3
  • 5
    • 0032122184 scopus 로고    scopus 로고
    • Short-term forecasting of wind speed and related electrical power
    • ALEXIADIS M U, DOKOPOULOS P S, SAHSAMANOGLOU H S. Short-term forecasting of wind speed and related electrical power[J]. Solar Energy, 1998, 63(1): 61-68.
    • (1998) Solar Energy , vol.63 , Issue.1 , pp. 61-68
    • Alexiadis, M.U.1    Dokopoulos, P.S.2    Sahsamanoglou, H.S.3
  • 7
    • 84859036543 scopus 로고    scopus 로고
    • AWNN-assisted wind power forecasting using feed-forward neural network
    • BHASKAR K, SINGH S N. AWNN-assisted wind power forecasting using feed-forward neural network[J]. IEEE Trans on Sustainable Energy, 2012, 3(2): 306-315.
    • (2012) IEEE Trans on Sustainable Energy , vol.3 , Issue.2 , pp. 306-315
    • Bhaskar, K.1    Singh, S.N.2
  • 8
    • 84864143531 scopus 로고    scopus 로고
    • Short-term wind-power prediction based on wavelet transform-support vector machine and statistic-characteristics analysis
    • LIU Yongqian, SHI Jie, YANG Yongping, et al. Short-term wind-power prediction based on wavelet transform-support vector machine and statistic-characteristics analysis[J]. IEEE Trans on Industry Application, 2012, 48(4): 1136-1141.
    • (2012) IEEE Trans on Industry Application , vol.48 , Issue.4 , pp. 1136-1141
    • Liu, Y.1    Shi, J.2    Yang, Y.3
  • 9
    • 57949110864 scopus 로고    scopus 로고
    • Wind power prediction based on artificial neural network
    • FAN Gaofeng, WANG Weisheng, LIU Chun, et al. Wind power prediction based on artificial neural network[J]. Proceedings of the CSEE, 2008, 28(34): 118-123.
    • (2008) Proceedings of the CSEE , vol.28 , Issue.34 , pp. 118-123
    • Fan, G.1    Wang, W.2    Liu, C.3
  • 10
    • 79955973407 scopus 로고    scopus 로고
    • Short-term wind power forecast based on ridgelet neural network
    • MAO Meiqin, ZHOU Songlin, SU Jianhui. Short-term wind power forecast based on ridgelet neural network[J]. Automation of Electric Power Systems, 2011, 35(7): 70-74.
    • (2011) Automation of Electric Power Systems , vol.35 , Issue.7 , pp. 70-74
    • Mao, M.1    Zhou, S.2    Su, J.3
  • 11
    • 0033929783 scopus 로고    scopus 로고
    • A new approach for wind speed prediction
    • SONG Y D. A new approach for wind speed prediction[J]. Wind Engineering, 2000, 24(1): 35-47.
    • (2000) Wind Engineering , vol.24 , Issue.1 , pp. 35-47
    • Song, Y.D.1
  • 12
    • 53649090652 scopus 로고    scopus 로고
    • Optimization algorithm of short-term multi-step wind speed forecast
    • PAN Difu, LIU Hui, LI Yanfei. Optimization algorithm of short-term multi-step wind speed forecast[J]. Proceedings of the CSEE, 2008, 28(26): 87-91.
    • (2008) Proceedings of the CSEE , vol.28 , Issue.26 , pp. 87-91
    • Pan, D.1    Liu, H.2    Li, Y.3
  • 13
    • 84891539637 scopus 로고    scopus 로고
    • Chinese source
    • 2007: 53-54.
    • (2007) , pp. 53-54
  • 14
    • 80052788143 scopus 로고    scopus 로고
    • A short-term wind power prediction method based on wavelet decomposition and BP neural network
    • SHI Hongtao, YANG Jingling, DING Maosheng, et al. A short-term wind power prediction method based on wavelet decomposition and BP neural network[J]. Automation of Electric Power Systems, 2011, 35(16): 44-48.
    • (2011) Automation of Electric Power Systems , vol.35 , Issue.16 , pp. 44-48
    • Shi, H.1    Yang, J.2    Ding, M.3
  • 15
    • 79958189257 scopus 로고    scopus 로고
    • A Kalman filter based correction model for short-term wind power prediction
    • ZHAO Pan, DAI Yiping, XIA Junrong, et al. A Kalman filter based correction model for short-term wind power prediction[J]. Journal of Xi'an Jiaotong University, 2011, 45(5): 47-51.
    • (2011) Journal of Xi'an Jiaotong University , vol.45 , Issue.5 , pp. 47-51
    • Zhao, P.1    Dai, Y.2    Xia, J.3
  • 16
    • 12444271036 scopus 로고    scopus 로고
    • A novel ARIMA approach on electricity price forecasting with the improvement of predicted error
    • ZHOU Ming, YAN Zheng, NI Yixin, et al. A novel ARIMA approach on electricity price forecasting with the improvement of predicted error[J]. Proceedings of the CSEE, 2004, 24(12): 63-68.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.12 , pp. 63-68
    • Zhou, M.1    Yan, Z.2    Ni, Y.3
  • 17
    • 80053115630 scopus 로고    scopus 로고
    • Short-term forecasting of wind power and non-parametric confidence interval estimation
    • ZHOU Songlin, MAO Meiqin, SU Jianhui. Short-term forecasting of wind power and non-parametric confidence interval estimation[J]. Proceedings of the CSEE, 2011, 31(25): 10-16.
    • (2011) Proceedings of the CSEE , vol.31 , Issue.25 , pp. 10-16
    • Zhou, S.1    Mao, M.2    Su, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.