Wind power forecast using RBF network and culture algorithm

@article{Chen2009WindPF,
  title={Wind power forecast using RBF network and culture algorithm},
  author={Bei Chen and Liang Zhao and J. H. Lu},
  journal={2009 International Conference on Sustainable Power Generation and Supply},
  year={2009},
  pages={1-6}
}
This paper proposes a novel technique that combines orthogonal least-squares (OLS) and culture algorithm (CA) to construct the radial basis function (RBF) network for the wind power forecast. By reason of the fluctuation and volatility in wind, wind power generations provide a challenge to the security and stability of the electric system, thus the growing revolution in wind energy encourages more accurate prediction models. The RBF network is composed of three-layer structure, which contains… CONTINUE READING