Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rafael Moreno-Sáez"'
Autor:
Juan Jose Serrano-Aguilera, Alicia Tocino, Sergio Fortes, Cristian Martín, Pere Mercadé-Melé, Rafael Moreno-Sáez, Antonio Muñoz, Sara Palomo-Hierro, Antoni Torres
Publikováno v:
Education Sciences, Vol 11, Iss 2, p 71 (2021)
Nowadays one of the main focuses of the Spanish University system is achieving the active learning paradigm in the context of its integration into the European Higher Education Area. This goal is being addressed by means of the application of novel t
Externí odkaz:
https://doaj.org/article/f2f9808ad75340d093a6c4a6b1823be2
Autor:
Rafael Moreno Sáez
Publikováno v:
Proceedings of The 3rd International Academic Conference on Education, Teaching and Learning.
Autor:
J.J. Serrano-Aguilera, Alicia Tocino, Sergio Fortes, Cristian Martín, Antoni Torres, Rafael Moreno-Sáez, Pere Mercadé-Melé, Antonio Muñoz, Sara Palomo-Hierro
Publikováno v:
Education Sciences, Vol 11, Iss 71, p 71 (2021)
Education Sciences
Volume 11
Issue 2
Education Sciences
Volume 11
Issue 2
Nowadays one of the main focuses of the Spanish University system is achieving the active learning paradigm in the context of its integration into the European Higher Education Area. This goal is being addressed by means of the application of novel t
Publikováno v:
Applied Energy. 162:827-838
The instantaneous performance ratio of thin-film photovoltaic modules of three different technologies is analyzed and characterized using contour graphs for different outdoor conditions. This parameter changes when modules are working in outdoor cond
Autor:
Rafael Moreno-Sáez, Llanos Mora-López
Publikováno v:
Environmental Modelling & Software. 53:163-172
A procedure for modelling the distribution of solar spectral irradiance is proposed. It uses both statistical and data mining techniques. As a result, it is possible to simulate solar spectral irradiance distribution using some astronomical parameter
Publikováno v:
Expert Systems with Applications. 40:7141-7150
A method for characterizing the performance ratio of thin-film photovoltaic modules based on the use of data mining and statistical techniques is developed. In general, this parameter changes when modules are working in outdoor conditions depending o
Publikováno v:
Università degli studi di Salerno-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f27add967d84f8b26e31d079199f94ad
http://hdl.handle.net/11386/4728729
http://hdl.handle.net/11386/4728729