Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic ProgrammingReportar como inadecuado




Predicting High or Low Transfer Efficiency of Photovoltaic Systems Using a Novel Hybrid Methodology Combining Rough Set Theory, Data Envelopment Analysis and Genetic Programming - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1

Research Center for Psychological and Educational Testing, National Taiwan Normal University, HePing East Rd., Section 1, Taipei 106, Taiwan

2

Department of Industrial Engineering Management, National Chiao Tung University, 1001 Ta-Hsuch Rd., Hsunchu 300, Taiwan





*

Author to whom correspondence should be addressed.



Abstract Solar energy has become an important energy source in recent years as it generates less pollution than other energies. A photovoltaic PV system, which typically has many components, converts solar energy into electrical energy. With the development of advanced engineering technologies, the transfer efficiency of a PV system has been increased from low to high. The combination of components in a PV system influences its transfer efficiency. Therefore, when predicting the transfer efficiency of a PV system, one must consider the relationship among system components. This work accurately predicts whether transfer efficiency of a PV system is high or low using a novel hybrid model that combines rough set theory RST, data envelopment analysis DEA, and genetic programming GP. Finally, real data-set are utilized to demonstrate the accuracy of the proposed method. View Full-Text

Keywords: photovoltaic systems; rough set theory; data envelopment analysis; genetic programming; hybrid model photovoltaic systems; rough set theory; data envelopment analysis; genetic programming; hybrid model





Autor: Yi-Shian Lee 1,* and Lee-Ing Tong 2

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados