| 1 |
Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations
Wang P, van Westrhenen R, Meirink JF, van der Veen S, Knap W
Solar Energy, 177, 47, 2019 |
| 2 |
An evolutionary artificial neural network ensemble model for estimating hourly direct normal irradiances from meteosat imagery
Linares-Rodriguez A, Quesada-Ruiz S, Pozo-Vazquez D, Tovar-Pescador J
Energy, 91, 264, 2015 |
| 3 |
An advanced ANN-based method to estimate hourly solar radiation from multi-spectral MSG imagery
Quesada-Ruiz S, Linares-Rodriguez A, Ruiz-Arias JA, Pozo-Vazquez D, Tovar-Pescador J
Solar Energy, 115, 494, 2015 |
| 4 |
A comparison of data sources for creating a long-term time series of daily gridded solar radiation for Europe
Bojanowski JS, Vrieling A, Skidmore AK
Solar Energy, 99, 152, 2014 |
| 5 |
Cloud detection, classification and motion estimation using geostationary satellite imagery for cloud cover forecast
Escrig H, Batlles FJ, Alonso J, Baena FM, Bosch JL, Salbidegoitia IB, Burgaleta JI
Energy, 55, 853, 2013 |
| 6 |
An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images
Linares-Rodriguez A, Ruiz-Arias JA, Pozo-Vazquez D, Tovar-Pescador J
Energy, 61, 636, 2013 |
| 7 |
Angular dependence of the albedo estimated in models for solar radiation derived from geostationary satellites
Polo J, Vindel JM, Martin L
Solar Energy, 93, 256, 2013 |
| 8 |
Solar resource assessment in the Benelux by merging Meteosat-derived climate data and ground measurements
Journee M, Muller R, Bertrand C
Solar Energy, 86(12), 3561, 2012 |
| 9 |
Solar radiation estimations over India using Meteosat satellite images
Polo J, Zarzalejo LF, Cony M, Navarro AA, Marchante R, Martin L, Romero M
Solar Energy, 85(9), 2395, 2011 |
| 10 |
Solar resources estimation combining digital terrain models and satellite images techniques
Bosch JL, Baffles FJ, Zarzalejo LF, Lopez G
Renewable Energy, 35(12), 2853, 2010 |
