ANTONIO DAVID POZO VÁZQUEZ-rekin lankidetzan egindako argitalpenak (53)

2021

  1. Assessment of new solar radiation nowcasting methods based on sky-camera and satellite imagery

    Applied Energy, Vol. 292

2018

  1. Analysis of the intra-day solar resource variability in the Iberian Peninsula

    Solar Energy, Vol. 171, pp. 374-387

2017

  1. A new methodology for PBL height estimations based on lidar depolarization measurements: Analysis and comparison against MWR and WRF model-based results

    Atmospheric Chemistry and Physics, Vol. 17, Núm. 11, pp. 6839-6851

  2. Short-term solar radiation forecasting by advecting and diffusing MSG cloud index

    Solar Energy, Vol. 155, pp. 1092-1103

2016

  1. Assessing the surface solar radiation budget in the WRF model: A spatiotemporal analysis of the bias and its causes

    Monthly Weather Review, Vol. 144, Núm. 2, pp. 703-711

  2. Closure to "One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model" by Alvaro Linares-Rodriguez, Vicente Lara-Fanego, David Pozo-Vazquez, and Joaquin Tovar-Pescador

    Journal of Hydrologic Engineering

2015

  1. An advanced ANN-based method to estimate hourly solar radiation from multi-spectral MSG imagery

    Solar Energy, Vol. 115, pp. 494-504

  2. An evolutionary artificial neural network ensemble model for estimating hourly direct normal irradiances from meteosat imagery

    Energy, Vol. 91, pp. 264-273

  3. Combining wind farms with concentrating solar plants to provide stable renewable power

    Renewable Energy, Vol. 76, pp. 539-550

  4. Influence of land-use misrepresentation on the accuracy of WRF wind estimates: Evaluation of GLCC and CORINE land-use maps in southern Spain

    Atmospheric Research, Vol. 157, pp. 17-28

  5. Macroscopic cloud properties in the WRF NWP model: An assessment using sky camera and ceilometer data

    Journal of Geophysical Research, Vol. 120, Núm. 19, pp. 10297-10312

  6. One-day-ahead streamflow forecasting using artificial neural networks and a meteorological mesoscale model

    Journal of Hydrologic Engineering, Vol. 20, Núm. 9

2014

  1. A methodology for evaluating the spatial variability of wind energy resources: Application to assess the potential contribution of wind energy to baseload power

    Renewable Energy, Vol. 69, pp. 147-156

2013

  1. An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images

    Energy, Vol. 61, pp. 636-645

2012

  1. Analysis of spatiotemporal balancing between wind and solar energy resources in the southern Iberian Peninsula

    Journal of Applied Meteorology and Climatology, Vol. 51, Núm. 11, pp. 2005-2024

  2. Evaluation of DNI forecast based on the WRF mesoscale atmospheric model for CPV applications

    AIP Conference Proceedings

  3. Evaluation of the WRF model solar irradiance forecasts in Andalusia (southern Spain)

    Solar Energy, Vol. 86, Núm. 8, pp. 2200-2217

2011

  1. A high-resolution topographic correction method for clear-sky solar irradiance derived with a numerical weather prediction model

    Journal of Applied Meteorology and Climatology, Vol. 50, Núm. 12, pp. 2460-2472

  2. A topographic geostatistical approach for mapping monthly mean values of daily global solar radiation: A case study in southern Spain

    Agricultural and Forest Meteorology, Vol. 151, Núm. 12, pp. 1812-1822

  3. Generation of synthetic daily global solar radiation data based on ERA-Interim reanalysis and artificial neural networks

    Energy, Vol. 36, Núm. 8, pp. 5356-5365