| 1 |
Identification of PV system shading using a LiDAR-based solar resource assessment model: An evaluation and cross-validation
Lingfors D, Killinger S, Engerer NA, Widen J, Bright JM
Solar Energy, 159, 157, 2018 |
| 2 |
Improved satellite-derived PV power nowcasting using real-time power data from reference PV systems
Bright JM, Killinger S, Lingfors D, Engerer NA
Solar Energy, 168, 118, 2018 |
| 3 |
On the search for representative characteristics of PV systems: Data collection and analysis of PV system azimuth, tilt, capacity, yield and shading
Killinger S, Lingfors D, Saint-Drenan YM, Moraitis P, van Sark W, Taylor J, Engerer NA, Bright JM
Solar Energy, 173, 1087, 2018 |
| 4 |
Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis
Lingfors D, Bright JM, Engerer NA, Ahlberg J, Killinger S, Widen J
Applied Energy, 205, 1216, 2017 |
| 5 |
A tuning routine to correct systematic influences in reference PV systems' power outputs
Killinger S, Bright JM, Lingfors D, Engerer NA
Solar Energy, 157, 1082, 2017 |
| 6 |
Validating nine clear sky radiation models in Australia
Engerer NA, Mills FP
Solar Energy, 120, 9, 2015 |
| 7 |
Minute resolution estimates of the diffuse fraction of global irradiance for southeastern Australia
Engerer NA
Solar Energy, 116, 215, 2015 |
| 8 |
K-PV: A clear-sky index for photovoltaics
Engerer NA, Mills FP
Solar Energy, 105, 679, 2014 |
