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Article citations


R. L. Welch, S. M. Ruffing and G. K. Venayagamoorthy, “Comparison of Feed Forward and Feedback Neural Network Architectures for Short-term Wind Speed Prediction,” Proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, USA, 2009.

has been cited by the following article:

  • TITLE: A Survey of Wind Power Ramp Forecasting

    AUTHORS: Tinghui Ouyang, Xiaoming Zha, Liang Qin

    KEYWORDS: Ramp Events; Forecasting; Physical Models; Statistical Models

    JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, October 16, 2013

    ABSTRACT: At home and broad, more wind power is being installed in electricity markets, the influence brought by wind power become more important on power system stability, especially the fluctuation, the uncertainty in wind power production and multi-time scale of the wind. In order to forecast ramp events before the power system encountering failure, so that the operator can adopt some limited controlling strategy. This paper introduces the present status of the wind power ramp prediction at home and abroad. And it gives out four kinds of definitions of ramp events, which are used by many scholars, then provides various forecasting error algorithm. In the aspect of prediction models, it comes up with physical models and statistical models, and enumerates various examples of different models. Finally, it prospects the tendency of the model improvement about the wind power ramp events forecasting, which would be significant for ramp research.