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Weather Prediction With Multiclass Support Vector Machines in the Fault Detection of Photovoltaic System

Wenying Zhang Huaguang Zhang Jinhai Liu Kai Li Dongsheng Yang Hui Tian

自动化学报（英文版）2017，Vol.4Issue(3)：520-525,6.

自动化学报（英文版）2017，Vol.4Issue(3)：520-525,6.DOI:10.1109/JAS.2017.7510562

Weather Prediction With Multiclass Support Vector Machines in the Fault Detection of Photovoltaic System

Wenying Zhang ¹Huaguang Zhang ²Jinhai Liu ²Kai Li ²Dongsheng Yang ²Hui Tian²

作者信息

1. College of Science, Harbin Engineering University, Harbin 15001, China
2. College of Information, Northeastern University, Shenyang 110819, China
折叠

摘要

关键词

Fault detection/multiclass support vector machines/photovoltaic power system/particle swarm optimization (PSO)/weather prediction

Key words

Fault detection/multiclass support vector machines/photovoltaic power system/particle swarm optimization (PSO)/weather prediction

引用本文复制引用

Wenying Zhang,Huaguang Zhang,Jinhai Liu,Kai Li,Dongsheng Yang,Hui Tian..Weather Prediction With Multiclass Support Vector Machines in the Fault Detection of Photovoltaic System[J].自动化学报（英文版）,2017,4(3):520-525,6.

基金项目

This work was supported by the National Natural Science Foundation of China (61433004,61473069) and IAPI Fundamental Research Funds (2013ZCX14). （61433004,61473069）

自动化学报（英文版）

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