| 1 |
Added-value of ensemble prediction system on the quality of solar irradiance probabilistic forecasts
La Salle JL, Badosa J, David M, Pinson P, Lauret P
Renewable Energy, 162, 1321, 2020 |
| 2 |
Verification of solar irradiance probabilistic forecasts
Lauret P, David M, Pinson P
Solar Energy, 194, 254, 2019 |
| 3 |
Sharing wind power forecasts in electricity markets: A numerical analysis
Exizidis L, Kazempour SJ, Pinson P, de Greve Z, Vallee F
Applied Energy, 176, 65, 2016 |
| 4 |
Generation and evaluation of space-time trajectories of photovoltaic power
Golestaneh F, Gooi HB, Pinson P
Applied Energy, 176, 80, 2016 |
| 5 |
Trading strategies for distribution company with stochastic distributed energy resources
Zhang CY, Wang Q, Wang JH, Korpas M, Pinson P, Ostergaard J, Khodayar ME
Applied Energy, 177, 625, 2016 |
| 6 |
A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data
Alessandrini S, Sperati S, Pinson P
Applied Energy, 107, 271, 2013 |
| 7 |
Probabilistic forecasting of the wave energy flux
Pinson P, Reikard G, Bidlot JR
Applied Energy, 93, 364, 2012 |
| 8 |
Evaluating the quality of scenarios of short-term wind power generation
Pinson P, Girard R
Applied Energy, 96, 12, 2012 |
| 9 |
Influence of local wind speed and direction on wind power dynamics -Application to offshore very short-term forecasting
Gallego C, Pinson P, Madsen H, Costa A, Cuerva A
Applied Energy, 88(11), 4087, 2011 |
| 10 |
Skill forecasting from ensemble predictions of wind power
Pinson P, Nielsen HA, Madsen H, Kariniotakis G
Applied Energy, 86(7-8), 1326, 2009 |
