Listar LCC - Artículos por centro "Facultad de Comercio y Gestión"
Mostrando ítems 1-3 de 3
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A data mining system for predicting solar global spectral irradiance. Performance assessment in the spectral response ranges of thin-film photovoltaic modules
Del-Campo-Ávila, José
; Piliougine, Michel; Morales-Bueno, Rafael; Mora-López, Llanos (Elsevier Ltd., 2019-04)
Knowing the spectral distribution of solar radiation is required to estimate the performance of photovoltaic modules, especially for thin-film modules. This is not a trivial problem due to the large number of environmental ... -
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation
Del-Campo-Ávila, José; Takilalte, Abdelatif; Bifet, Albert; Mora-López, Llanos (Elsevier Ltd, 2021-04-01)
A new methodology to predict one-day-ahead hourly solar global radiation is proposed in this paper. This information is very useful to address many real problems; for instance, energy-market decision making is one of the ... -
Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds
Frías-Blanco, Isvani; Del-Campo-Ávila, José; Ramos-Jiménez, Gonzalo Pascual; Morales-Bueno, Rafael; Ortiz-Díaz, Agustín; Caballero-Mota, Yailé[et al.] (IEEE, 2015-03-01)
Incremental and online learning algorithms are more relevant in the data mining context because of the increasing necessity to process data streams. In this context, the target function may change over time, an inherent ...