| 1 |
Intra-day solar probabilistic forecasts including local short-term variability and satellite information
Alonso-Suarez R, David M, Branco V, Lauret P
Renewable Energy, 158, 554, 2020 |
| 2 |
Intra-day solar irradiation forecast using RLS filters and satellite images
Marchesoni-Acland F, Alonso-Suarez R
Renewable Energy, 161, 1140, 2020 |
| 3 |
Analysis of satellite derived solar irradiance in islands with site adaptation techniques for improving the uncertainty
Aguiar LM, Polo J, Vindel JM, Oliver A
Renewable Energy, 135, 98, 2019 |
| 4 |
Local estimation of the global horizontal irradiance using an all-sky camera
Scolari E, Sossan F, Haure-Touze M, Paolone M
Solar Energy, 173, 1225, 2018 |
| 5 |
A through analysis of solar irradiation measurements in the region of Arica Parinacota, Chile
Cornejo L, Martin-Pomares L, Alarcon D, Blanco J, Polo J
Renewable Energy, 112, 197, 2017 |
| 6 |
The application of Bayesian network classifiers to cloud classification in satellite images
Alonso-Montesinos J, Martinez-Durban M, del Sagrado J, del Aguila IM, Batlles FJ
Renewable Energy, 97, 155, 2016 |
| 7 |
Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting
Aguiar LM, Pereira B, Lauret P, Diaz F, David M
Renewable Energy, 97, 599, 2016 |
| 8 |
Solar radiation forecasting in the short- and medium-term under all sky conditions
Alonso-Montesinos J, Bathes FJ
Energy, 83, 387, 2015 |
| 9 |
Beam, diffuse and global solar irradiance estimation with satellite imagery
Alonso-Montesinos J, Batlles FJ, Bosch JL
Energy Conversion and Management, 105, 1205, 2015 |
| 10 |
Use of satellite data to improve solar radiation forecasting with Bayesian Artificial Neural Networks
Aguiar LM, Pereira B, David M, Diaz F, Lauret P
Solar Energy, 122, 1309, 2015 |
