• Bunn et al. Journal of Renewable and Sustainable Energy 12 053702, Using GEOS-5 forecast products to represent aerosol optical depth in operational day-ahead solar irradiance forecasts for the southwest United States (2020). journal link

  • Harty et al. Solar Energy 185 270-282, Intra-hour Cloud Index Forecasting with Data Assimilaiton (2019). journal link presentation

  • Holmgren et al. 44th IEEE PVSC Proceedings, A Comparison of PV Power Forecasts Using PVLib-Python (2017). poster

  • A. T. Lorenzo Doctoral Dissertation Short-Term Irradiance Forecasting Using an Irradiance Monitoring Network, Satellite Imagery, and Data Assimilation (2017). defense

  • Lorenzo et al. Solar Energy 144 466-474, Optimal Interpolation of Satellite and Ground Data for Irradiance Nowcasting at City Scales (2017). journal link poster

  • Holmgren et al. 43th IEEE PVSC Proceedings, An Open Source Solar Power Forecasting Tool Using PVLIB-Python (2016). poster

  • Lorenzo et al. 43th IEEE PVSC Proceedings, Optimal Interpolation of Satellite Derived Irradiance and Ground Data (2016).

  • Lorenzo et al. Solar Energy 122 1158-1169, Irradiance Forecasts based on an Irradiance Monitoring Network, Cloud Motion, and Spatial Averaging (2015). journal link

  • Holmgren et al. UA-SVERI Variability Analysis (2015).

  • Cormode et al. 2014 EU PVSEC Proceedings, Observed Fluctuations in Output From a Regional Fleet of PV Power Plants Used to Compute Hourly Schedules of Spinning Reserve Requirements (2014).

  • Holmgren et al. 40th IEEE PVSC Proceedings, An Operational, Real-Time Forecasting System for 250 MW of PV Power Using NWP, Satellite, and DG Production Data (2014).

  • Lorenzo et al. 40th IEEE PVSC Proceedings, Short-Term PV Power Forecasts Based on a Real-Time Irradiance Monitoring Network (2014).

  • Cormode et al. 40th IEEE PVSC Proceedings, The Economic Value of Forecasts for Optimal Curtailment Strategies to Comply with Ramp Rate Rules (2014).

  • Lonij et al. Solar Energy 97 58-66, Intra-hour forecasts of solar power production using measurements from a network of irradiance sensors (2013).

  • Cormode et al. 39th IEEE PVSC Proceedings, Comparing Ramp Rates from Large and Small PV systems, and Selection of Batteries for Ramp Rate Control (2013).

  • Jayadevan et al. ASES World Renewable Energy Forum proceedings, Forecasting Solar Power Intermittency using Ground-Based Cloud Imaging (2012).

Our work was also featured in a 2014 SEPA report on solar power forecasting. See the free executive summary