2018
DOI: 10.24275/uam/izt/dcbi/revmexingquim/2019v18n3/matsumoto
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36 Month Performance of 60 KWP Photovoltaic System in Mexico City

Abstract: Modelado de la biodegradación en biorreactores de lodos de hidrocarburos totales del petróleo intemperizados en suelos y sedimentos (Biodegradation modeling of sludge bioreactors of total petroleum hydrocarbons weathering in soil and sediments)

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“…Due to the fast growth of the application of photovoltaic energy, the operational performance of solar photovoltaic energy has turned out to be an essential issue of research. Particular areas such as the optimization of parameters of photovoltaic systems, the development of new technologies in photovoltaic cells and performance analysis, and the development of new techniques to predict the power output in actual weather conditions have been critical in the continuous improvement of the efficiency of the systems (Wang et al, 2021;Matsumoto et al, 2019;Ferrero-Bermejo et al, 2019;Ma et al, 2014). Research has shown the use of predictive tools through the development of intelligent systems such as learning machines (Xia et al, 2017), artificial neural networks (Di- Piazza et al, 2021;Rico-Contreras et al, 2014), and fuzzy logic (Yazdanbaksh et al, 2013;Virgen-Navarro et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fast growth of the application of photovoltaic energy, the operational performance of solar photovoltaic energy has turned out to be an essential issue of research. Particular areas such as the optimization of parameters of photovoltaic systems, the development of new technologies in photovoltaic cells and performance analysis, and the development of new techniques to predict the power output in actual weather conditions have been critical in the continuous improvement of the efficiency of the systems (Wang et al, 2021;Matsumoto et al, 2019;Ferrero-Bermejo et al, 2019;Ma et al, 2014). Research has shown the use of predictive tools through the development of intelligent systems such as learning machines (Xia et al, 2017), artificial neural networks (Di- Piazza et al, 2021;Rico-Contreras et al, 2014), and fuzzy logic (Yazdanbaksh et al, 2013;Virgen-Navarro et al, 2016).…”
Section: Introductionmentioning
confidence: 99%