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Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

Yang Ming

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Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:山东大学

Paper Publications

Current position: Home / Papers
Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning
Release Time:2019-10-24 | Hits:

Institution:电气工程学院

Title of Paper:Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning

Journal:IEEE transactions on industry applications

First Author:杨明

All the Authors:Yang Ming

Document Code:lw-150970

Volume:49

Issue:6

Page Number:2783

Translation or Not:No

Date of Publication:2013-11