Big Data and Machine Learning for Applied Weather Forecasts: Forecasting Solar Power for Utility Operations. - Sue Ellen Haupt; Branko Kosovic (SSCI, 2015)

Visualization of NCAR's Wind Forecast Improvement Project 2. - Scott Pearse; Pedro Jimenez Munoz; Branko Kosovic (PEARC, 2017)

Machine Learning for Applied Weather Prediction. - Sue Ellen Haupt; Jim Cowie; Seth Linden; Tyler C. McCandless; Branko Kosovic; Stefano Alessandrini (eScience, 2018)

Estimation Of Fuel Moisture Content by Integrating Surface and Satellite Observations Using Machine Learning. - Branko Kosovic; Pedro Jimenez Munoz; Tyler C. McCandless; Bill Petzke; Steven Massie; Amanda Siems-Anderson; Amy DeCastro; Domingo Muñoz-Esparza; Sue Ellen Haupt (IGARSS, 2020)

Enhancing wildfire spread modelling by building a gridded fuel moisture content product with machine learning. - Tyler C. McCandless; Branko Kosovic; William Petzke (Mach. Learn. Sci. Technol., 2020)

A Computationally Efficient Method for Updating Fuel Inputs for Wildfire Behavior Models Using Sentinel Imagery and Random Forest Classification. - Amy DeCastro; Timothy W. Juliano; Branko Kosovic; Hamed Ebrahimian; Jennifer K. Balch (Remote. Sens., 2022)

ERF: Energy Research and Forecasting. - Ann S. Almgren; Aaron M. Lattanzi; Riyaz Haque; Pankaj Jha; Branko Kosovic; Jeffrey D. Mirocha; Bruce A. Perry; Eliot W. Quon; Michael Sanders; David Wiersema; Donald E. Willcox; Xingqiu Yuan; et al. (J. Open Source Softw., 2023)

Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management. - John S. Schreck; William Petzke; Pedro A. Jimenez; Thomas Brummet; Jason C. Knievel; Eric James; Branko Kosovic; David John Gagne (Remote. Sens., 2023)