Dr Jamie Bright

BEng, MEng, MSc, PhD
Postdoctoral Fellow

Dr Bright is a postdoctoral research fellow with the Fenner School of Environment and Society at The Australian National University. He has a passion for solar energy technologies. Previously, his research focused on applying mathematical stochastic principles to meteorological variables to produce high resolution solar data. This has been applied to evaluating the impact of solar panels in the distribution grid. His current focus is on solar energy forecasting, wherein he is working to generate estimates of the power output from large groups of distributed solar energy systems. He works with satellite imagery and power data from solar panels in the grid to provide state-of-the-art forecasts of solar energy on a research project funded by the Australian Renewable Energy Agency (ARENA).

Research interests

Solar Energy | Solar resource assessment | Solar photovoltaics | Grid integration | Solar variability | Atmospheric modelling | Computational modelling and simulations | Solar forecasting | Satellite imagery | Remote sensing | Validation studies | Statistical analysis | Data analysis

  • Lingfors, D, Killinger, S, Engerer, N et al 2018, 'Identification of PV system shading using a LiDAR-based solar resource assessment model: An evaluation and cross-validation', Solar Energy, vol. 159, pp. 157-172.
  • Lingfors, D, Bright, J, Engerer, N et al 2017, 'Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis', Applied Energy, vol. 205, pp. 1216-1230.
  • Killinger, S, Bright, J, Lingfors, D et al 2017, 'A tuning routine to correct systematic influences in reference PV systems' power outputs', Solar Energy, vol. 157, pp. 1082-1094.
  • Bright, J, Babacan, O, Kleissl, J et al 2017, 'A synthetic, spatially decorrelating solar irradiance generator and application to a LV grid model with high PV penetration', Solar Energy, vol. 147, no. -, pp. 83-98pp.
  • Smith, C, Bright, J & Crook, R 2017, 'Cloud cover effect of clear-sky index distributions and differences between human and automatic cloud observations', Solar Energy, vol. 144, no. -, pp. 10-21pp.
  • Bright, J, Smith, C, Taylor, P et al 2015, 'Stochastic generation of synthetic minutely irradiance time series derived from mean hourly weather observation data', Solar Energy, vol. 115, no. -, pp. 229-242pp.
  • Bright, J, Taylor, P & Crook, R 2015, 'Methodology to Stochastically Generate Synthetic 1-Minute Irradiance Time-Series Derived from Mean Hourly Weather Observational Data', Solar World Congress 2015, ed. Manuel Romero,Taebeom Seo,David Renné, International Solar Energy Society, Germany, pp. 1-10pp.