Artificial Neural Network Applied to Prediction of Electricity Generated by Grid Connected Photovoltaic Systems

被引：0
|
作者：
de Vasconcelos, Fillipe M. [1 ]
Saraiva, Filipe de O. [1 ]
Bernardes, Wellington Maycon S. [1 ]
Mazzini, Ana P. [1 ]
Almeida, Marcelo Pinho
机构：
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Elect & Comp Engn, Sao Carlos, SP, Brazil
来源：
2013 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES (ISGT LATIN AMERICA) | 2013年
关键词：
Artificial Neural Network; Grid Connected Photovoltaic Systems; Prediction of Electricity Generation;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper applies Artificial Neural Network to predict the amount of energy generated by a Grid Connected Photovoltaic System installed at the Institute of Electrotechnic and Energy of University of Sao Paulo (IEE/USP). Irradiance, back cell temperature and power data were collected during the period of one year. This methodology allows performing an analysis of the production of Grid Connected Photovoltaic Systems and the commercialization of the energy generated. Finally, the methodology was validated comparing relative error between measured data and estimated data.
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页数：6
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