RT Journal Article
T1 Data mining and statistical techniques for characterizing the performance of thin-film photovoltaic modules
A1 Moreno-Sáez, Rafael
A1 Sidrach-de-Cardona, Mariano
A1 Mora-López, Llanos
K1 Minería de datos
K1 Células solares
AB 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 on irradiance, temperature, air mass and solar spectral irradiance distribution. The problem is that it is usually difficult to know how to include solar spectral irradiance information when estimating the performance of photovoltaic modules. We propose five different solar spectral irradiance distributions that summarize all the different distributions observed in Malaga. Using the probability distribution functions of these curves and a statistical test, we first checked when two spectral distributions measured can be considered to have the same contribution of energy per wavelength. Hence, using this test and the k-means data mining technique, all the measured spectra, more than two hundred and fifty thousand, are clustered in only five different groups. All the spectra in each cluster can be considered as equal and the k-means technique estimates one centroid for each cluster that corresponds to the cumulative probability distribution function that is the most similar to the rest of the samples in the cluster. The results obtained proves that 99.98% of the functions can be considered equal to the centroid of its cluster. With these five types of functions, we have explained the changes in the performance ratio measured for thin-film photovoltaic modules of different technologies.
PB Elsevier
SN 0957-4174
YR 2013
FD 2013
LK https://hdl.handle.net/10630/32722
UL https://hdl.handle.net/10630/32722
LA eng
NO Rafael Moreno Sáez, Mariano Sidrach-de-Cardona, Llanos Mora-López, Data mining and statistical techniques for characterizing the performance of thin-film photovoltaic modules, Expert Systems with Applications, Volume 40, Issue 17, 2013, Pages 7141-7150, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2013.06.059.
NO This work has been supported by the projects P10-TIC-6441 and P11-RNM-07115 of the Junta de Andalucía, Spain.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026