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Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation

机译:基于移动平均方法的风力波动率的概率分布及改进的非参数核密度估计

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  • 来源
    《全球能源互联网(英文版)》 |2020年第3期|247-258|共12页
  • 作者单位

    State Grid Economic and Technological Research Institute Co. Ltd. State Grid Office District North District of Future Science and Technology City North Seven Changping District Beijing 102209 P. R. China;

    State Grid Economic and Technological Research Institute Co. Ltd. State Grid Office District North District of Future Science and Technology City North Seven Changping District Beijing 102209 P. R. China;

    Department of Hubei Provincial Collaborative Innovation Center for New Energy Microgrid China Three Gorges University Yichang Hubei Province 443000 P. R. China;

    Stevens Institute of Technology Hoboken NJ 07030 USA;

    State Grid Economic and Technological Research Institute Co. Ltd. State Grid Office District North District of Future Science and Technology City North Seven Changping District Beijing 102209 P. R. China;

    Department of Hubei Provincial Collaborative Innovation Center for New Energy Microgrid China Three Gorges University Yichang Hubei Province 443000 P. R. China;

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