Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation-Reference-Cited by-同舟云学术

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

Published:2020-06 Issue:3 Volume:3 Page:247-258
ISSN:2096-5117
Container-title:Global Energy Interconnection
language:en
Short-container-title:Global Energy Interconnection

Author:

Xin Peizhe,Liu Ying,Yang Nan,Song Xuankun,Huang Yu

Funder

Science and Technology Project of State Grid

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference30 articles.

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4. Research on wind power fluctuation characteristics based on quantitative index and probability density distribution;Wan;Acta Energiae Solaris Sinica,2015

5. Probability density distribution function of wind power fluctuation of a wind farm group based on the gaussian mixture model;Cui;Power System Technology,2016

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