B. Kurtz, F. Mejia, and J. Kleissl, “A virtual sky imager testbed for solar energy forecasting,” Solar Energy, vol. 158, pp. 753-759, 2017. (Preprint PDF)
B. Kurtz and J. Kleissl, “Measuring diffuse, direct, and global irradiance using a sky imager,” Solar Energy, 2016. (Preprint PDF)
B. Urquhart, B. Kurtz, and J. Kleissl, “Sky camera geometric calibration using solar observations,” Atmospheric Measurement Techniques, vol. 9, iss. 9, pp. 4279-4294, 2016. (PDF)
G. Wang, B. Kurtz, and J. Kleissl, “Cloud base height from sky imager and cloud speed sensor,” Solar Energy, vol. 131, pp. 208-221, 2016. (Preprint PDF)
B. Urquhart, B. Kurtz, E. Dahlin, M. Ghonima, J. E. Shields, and J. Kleissl, “Development of a sky imaging system for short-term solar power forecasting,” Atmospheric Measurement Techniques, vol. 8, iss. 2, pp. 875-890, 2015. (PDF)
H. Yang, B. Kurtz, D. Nguyen, B. Urquhart, C. W. Chow, M. Ghonima, and J. Kleissl, “Solar irradiance forecasting using a ground-based sky imager developed at UC San Diego,” Solar Energy, vol. 103, pp. 502-524, 2014. (Preprint PDF)
The above papers are those for which I was the primary author or to which I made substantial contributions. For additional papers on which I was a supporting author, please see the Kleissl Group Publications page and search for "Kurtz".
My thesis work covers short-term solar resource forecasting using sky imagers. When I joined Jan Kleissl's group, the group had a basic forecast methodology in place, but limited experience. I helped the group expand the reliability of the algorithms, apply them to the new camera we developed, and to deploy cameras and operational forecasts at a number of sites. I also developed a virtual sky imager capability, which allowed us to diagnose the strengths and shortcomings of our algorithm.
Some additional resources pertaining to virtual sky imagers are also available.