| 1 |
Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts
Pedro HTC, Coimbra CFM, David M, Lauret P
Renewable Energy, 123, 191, 2018 |
| 2 |
Techno-economic feasibility of off-grid solar irrigation for a rice paddy in Guilan province in Iran: A case study
Niajalili M, Mayeli P, Naghashzadegan M, Poshtiri AH
Solar Energy, 150, 546, 2017 |
| 3 |
Generating synthetic five-minute solar irradiance values from hourly observations
Grantham AP, Pudney PJ, Ward LA, Belusko M, Boland JW
Solar Energy, 147, 209, 2017 |
| 4 |
Minimum redundancy - Maximum relevance with extreme learning machines for global solar radiation forecasting: Toward an optimized dimensionality reduction for solar time series
Bouzgou H, Gueymard CA
Solar Energy, 158, 595, 2017 |
| 5 |
Performance characteristics of a perforated shadow band in the presence of cloud
Brooks MJ, von Backstrom TW, van Dyk E
Solar Energy, 139, 533, 2016 |
| 6 |
Reconstruction of long-term direct solar irradiance data series using a model based on the Cloud Modification Factor
Perez-Burgos A, Roman R, Bilbao J, de Miguel A, Oteiza P
Renewable Energy, 77, 115, 2015 |
| 7 |
Semi-empirical models for the estimation of clear sky solar global and direct normal irradiances in the tropics
Janjai S, Sricharoen K, Pattarapanitchai S
Applied Energy, 88(12), 4749, 2011 |
| 8 |
Assessment of spatial and temporal variability in the US solar resource from radiometric measurements and predictions from models using ground-based or satellite data
Gueymard CA, Wilcox SM
Solar Energy, 85(5), 1068, 2011 |
| 9 |
Performance characteristics of a perforated shadow band under clear sky conditions
Brooks MJ
Solar Energy, 84(12), 2179, 2010 |
| 10 |
Statistical approach to the proposition and validation of daily diffuse irradiation models
Munawwar S, Muneer T
Applied Energy, 84(4), 455, 2007 |
