Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Serrano, Guillermo"'
Autor:
de la Fuente, Jesus, Serrano, Guillermo, Veleiro, Uxía, Casals, Mikel, Vera, Laura, Pizurica, Marija, Pineda-Lucena, Antonio, Ochoa, Idoia, Vicent, Silve, Gevaert, Olivier, Hernaez, Mikel
Drug-target interaction (DTI) prediction is a challenging, albeit essential task in drug repurposing. Learning on graph models have drawn special attention as they can significantly reduce drug repurposing costs and time commitment. However, many cur
Externí odkaz:
http://arxiv.org/abs/2311.12670
Autor:
de la Fuente, Jesus, Legarra, Naroa, Serrano, Guillermo, Marin-Goni, Irene, Diaz-Mazkiaran, Aintzane, Sendin, Markel Benito, Osta, Ana Garcia, Kalari, Krishna R., Fernandez-Granda, Carlos, Ochoa, Idoia, Hernaez, Mikel
Single-cell RNA-sequencing (scRNA-seq) stands as a powerful tool for deciphering cellular heterogeneity and exploring gene expression profiles at high resolution. However, its high cost renders it impractical for extensive sample cohorts within routi
Externí odkaz:
http://arxiv.org/abs/2311.11991
We propose and analyze the application of statistical functional depth metrics for the selection of extreme scenarios in day-ahead grid planning. Our primary motivation is screening of probabilistic scenarios for realized load and renewable generatio
Externí odkaz:
http://arxiv.org/abs/2309.11067
The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i.e., energy storage). This investigation aims to decrease the additional cost by introducing probabilistic multi-t
Externí odkaz:
http://arxiv.org/abs/2110.05622
Horizontal atmospheric wind shear causes wind velocity fields to have different directions and speeds. In images of clouds acquired using ground-based sky imagers, clouds may be moving in different wind layers. To increase the performance of an intra
Externí odkaz:
http://arxiv.org/abs/2105.03535
Moving clouds affect the global solar irradiance that reaches the surface of the Earth. As a consequence, the amount of resources available to meet the energy demand in a smart grid powered using Photovoltaic (PV) systems depends on the shadows proje
Externí odkaz:
http://arxiv.org/abs/2103.02556
Sky imaging systems use lenses to acquire images concentrating light beams in a sensor. The light beams received by the sky imager have an elevation angle with respect to the device normal. Thus, the pixels in the image contain information from diffe
Externí odkaz:
http://arxiv.org/abs/2103.02066
The increasing number of Photovoltaic (PV) systems connected to the power grid are vulnerable to the projection of shadows from moving clouds. Global Solar Irradiance (GSI) forecasting allows smart grids to optimize the energy dispatch, preventing en
Externí odkaz:
http://arxiv.org/abs/2102.10151
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar irradiance provides the MG with the capability of automatically contro
Externí odkaz:
http://arxiv.org/abs/2102.07814
Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance. We present a comparison between different kernel discriminative models for c
Externí odkaz:
http://arxiv.org/abs/2102.06646