上海交大研究生院主页平台管理系统 yanzheng--Home-- Gaussian Mixture Model for Multivariate Wind Power Based on Kernel Density Estimation and Component Number Reduction

Personal Information

Gender: Male
E-Mail: yanz@sjtu.edu.cn

VIEW MORE

Home > Scientific Research > Paper Publications

Gaussian Mixture Model for Multivariate Wind Power Based on Kernel Density Estimation and Component Number Reduction

Date of Publication:2022-01-01 Hits:

Journal:IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
ISSN No.:1949-3029
Translation or Not:no
Date of Publication:2022-01-01
Indexed by:期刊论文

Pre One:Learning-based line impedance estimation for partially observable distribution systems

Next One:A trusted peer-to-peer market of joint energy and reserve based on blockchain

Recommend this article