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Correlation feature selection and mutual information theory based quantitative research on meteorological impact factors of module temperature for solar photovoltaic systems

Sun, Yujing; Wang, Fei; Wang, Bo; Chen, Qifang; Engerer, Nicholas; Mi, Zengqiang


The module temperature is the most important parameter influencing the output power of solar photovoltaic (PV) systems, aside from solar irradiance. In this paper, we focus on the interdisciplinary research that combines the correlation analysis, mutual information (MI) and heat transfer theory, which aims to figure out the correlative relations between different meteorological impact factors (MIFs) and PV module temperature from both quality and quantitative aspects. The identification and...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: Energies
DOI: 10.3390/en10010007
Access Rights: Open Access


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