메뉴 건너뛰기




Volumn 37, Issue 7, 2013, Pages 1-5

A regional wind power forecasting method based on statistical upscaling approach

Author keywords

Correlation coefficient matrix; Power forecast; Statistical upscaling; Wind farms; Wind power

Indexed keywords

CORRELATION COEFFICIENT; NORTH CHINA POWER GRID; POWER FORECAST; UPSCALING; WIND FARM; WIND POWER FORECASTING; WIND POWER PENETRATION; WIND POWER PREDICTIONS;

EID: 84876806520     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: 10.7500/AEPS201207126     Document Type: Article
Times cited : (30)

References (15)
  • 1
    • 79953736549 scopus 로고    scopus 로고
    • Evaluation and application of wind power integration capacity in power grid
    • SUN Rongfu, ZHANG Tao, LIANG Ji. Evaluation and application of wind power integration capacity in power grid[J]. Automation of Electric Power Systems, 2011, 35(4): 70-76.
    • (2011) Automation of Electric Power Systems , vol.35 , Issue.4 , pp. 70-76
    • Sun, R.1    Zhang, T.2    Liang, J.3
  • 2
    • 74249121627 scopus 로고    scopus 로고
    • Wind power forecast based on equivalent average wind speed
    • JING Tianjun, RUAN Rui, YANG Minghao. Wind power forecast based on equivalent average wind speed[J]. Automation of Electric Power Systems, 2009, 33(24): 83-87.
    • (2009) Automation of Electric Power Systems , vol.33 , Issue.24 , pp. 83-87
    • Jing, T.1    Ruan, R.2    Yang, M.3
  • 3
    • 77957810954 scopus 로고    scopus 로고
    • Solution of active power dispatch and control scheme for interconnected power grids with large-scale wind power integration
    • GAO Zonghe, TENG Xianliang, ZHANG Xiaobai. Solution of active power dispatch and control scheme for interconnected power grids with large-scale wind power integration[J]. Automation of Electric Power Systems, 2010, 34(17): 37-41.
    • (2010) Automation of Electric Power Systems , vol.34 , Issue.17 , pp. 37-41
    • Gao, Z.1    Teng, X.2    Zhang, X.3
  • 4
    • 84876786698 scopus 로고    scopus 로고
    • Improvement of ultra-short term wind power forecast model
    • CHEN Ying, ZHOU Hai, WANG Wenpeng, et al. Improvement of ultra-short term wind power forecast model[J]. Automation of Electric Power Systems, 2011, 35(15): 30-33.
    • (2011) Automation of Electric Power Systems , vol.35 , Issue.15 , pp. 30-33
    • Chen, Y.1    Zhou, H.2    Wang, W.3
  • 5
    • 78049498749 scopus 로고    scopus 로고
    • State-of-the-art on methods and software tools for short-term, prediction of wind energy production
    • June 16-19, Madrid, Spain
    • GIEBEL G, LANDBERG L, KARINIOTAKIS G. State-of-the-art on methods and software tools for short-term, prediction of wind energy production[C]// European Wind Energy Conference & Exhibition, June 16-19, 2003, Madrid, Spain.
    • (2003) European Wind Energy Conference & Exhibition
    • Giebel, G.1    Landberg, L.2    Kariniotakis, G.3
  • 6
    • 79959871036 scopus 로고    scopus 로고
    • ANEMOS: development of a next generation wind power forecasting system for the large-scale integration of onshore & offshore wind farms
    • June 16-19, Madrid, Spain
    • KARINIOTAKIS G, MAYER D, MOUSSAFIR J. ANEMOS: development of a next generation wind power forecasting system for the large-scale integration of onshore & offshore wind farms[C]// European Wind Energy Conference & Exhibition, June 16-19, 2003, Madrid, Spain.
    • (2003) European Wind Energy Conference & Exhibition
    • Kariniotakis, G.1    Mayer, D.2    Moussafir, J.3
  • 7
    • 84876809685 scopus 로고    scopus 로고
    • Enhanced regional forecasting considering single wind farm distribution for upscaling
    • [2012-05-06]
    • VON BREMEN L, SALECK N, HEINEMANN D. Enhanced regional forecasting considering single wind farm distribution for upscaling[EB/OL]. [2012-05-06]. http://stacks.iop.org/1742-6596/75/012040.
    • (2012)
    • Von Bremen, L.1    Saleck, N.2    Heinemann, D.3
  • 8
    • 84893018917 scopus 로고    scopus 로고
    • Forecasting of regional wind generation by a dynamic fuzzy-neural networks based upscaling approach
    • June 16-19, Madrid, Spain
    • PINSON P, SIEBERT N, KARINIOTAKIS G. Forecasting of regional wind generation by a dynamic fuzzy-neural networks based upscaling approach[C]// European Wind Energy Conference & Exhibition, June 16-19, 2003, Madrid, Spain.
    • (2003) European Wind Energy Conference & Exhibition
    • Pinson, P.1    Siebert, N.2    Kariniotakis, G.3
  • 10
    • 78651584826 scopus 로고    scopus 로고
    • Regional wind power forecasting system for Inner Mongolia power grid
    • BAI Yongxiang, FANG Dazhong, HOU Youhua, et al. Regional wind power forecasting system for Inner Mongolia power grid[J]. Power System Technology, 2010, 34(10): 157-162.
    • (2010) Power System Technology , vol.34 , Issue.10 , pp. 157-162
    • Bai, Y.1    Fang, D.2    Hou, Y.3
  • 11
    • 77349103016 scopus 로고    scopus 로고
    • Study on the physical approach to wind power prediction
    • FENG Shuanglei, WANG Weisheng, LIU Chun, et al. Study on the physical approach to wind power prediction[J]. Proceedings of the CSEE, 2010, 30(2): 1-6.
    • (2010) Proceedings of the CSEE , vol.30 , Issue.2 , pp. 1-6
    • Feng, S.1    Wang, W.2    Liu, C.3
  • 12
    • 79959914395 scopus 로고    scopus 로고
    • Short term wind speed prediction based on physical principle
    • FENG Shuanglei, WANG Weisheng, LIU Chun, et al. Short term wind speed prediction based on physical principle[J]. Acta Energiae Solaris Sinica, 2011, 32(5): 611-616.
    • (2011) Acta Energiae Solaris Sinica , vol.32 , Issue.5 , pp. 611-616
    • Feng, S.1    Wang, W.2    Liu, C.3
  • 13
    • 84876802506 scopus 로고    scopus 로고
    • Chinese source
    • 2011.
    • (2011)
  • 14
    • 0036504289 scopus 로고    scopus 로고
    • Short-term prediction of the aggregated power output of wind farms-a statistical analysis of the reduction of the prediction error by spatial smoothing effects
    • FOCKEN U, LANGE M, MÖNNICH K, et al. Short-term prediction of the aggregated power output of wind farms-a statistical analysis of the reduction of the prediction error by spatial smoothing effects[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2002, 90(3): 231-246.
    • (2002) Journal of Wind Engineering and Industrial Aerodynamics , vol.90 , Issue.3 , pp. 231-246
    • Focken, U.1    Lange, M.2    Mönnich, K.3
  • 15
    • 77956444173 scopus 로고    scopus 로고
    • Wind power forecasting: state-of-the-art 2009
    • [2012-05-08]
    • MONTEIRO C, BESSA R, MIRANDA V, et al. Wind power forecasting: state-of-the-art 2009[R/OL]. [2012-05-08]. http://www.dis.anl.gov/projects/windpowerforecasting.html.
    • (2012)
    • Monteiro, C.1    Bessa, R.2    Miranda, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.