Overview
Personal Profile
Kirsten Perry’s research interests include applying machine learning and deep learning techniques to assess photovoltaic (PV) field performance data and remote sensing imagery. She is a contributor to multiple open-source Python packages, including PVAnalytics (automated QA of PV time series data), RdTools (PV degradation analysis), and Panel-Segmentation (automated metadata assessment of solar sites via satellite imagery).
Education/Academic Qualification
Master, Computer Science, Georgia Institute of Technology
Bachelor, Mechanical Engineering and Math, University of Oklahoma
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Collaborations and Top Research Areas From the Past 5 Years
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Assessing the Impacts of Extreme Weather Events on Photovoltaic Installations Using Remote Sensing Imagery
Perry, K., Jordan, D. & Nguyen, Q., 2025, In: Progress in Photovoltaics: Research and Applications. 33, 9, p. 1012-1023 12 p.Research output: Contribution to journal › Article › peer-review
4 Scopus Citations -
PV Fleet Performance Data Initiative Final Technical Report (FTR)
Deline, C., Jordan, D., Muller, M., Perry, K., White, R., Deceglie, M., Springer, M. & Ovaitt, S., 2025, 37 p.Research output: NLR › Technical Report
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Advancing Our Understanding of System Availability through the PV Fleet Performance Data Initiative
Springer, M., Deline, C., Muller, M., Perry, K., Deceglie, M., Jordan, D. & White, R., 2024, p. 326-328. 3 p.Research output: Contribution to conference › Paper
1 Scopus Citations -
Availability and Performance Loss Factors for U.S. PV Fleet Systems
Deline, C., Muller, M., White, R., Perry, K., Springer, M., Deceglie, M. & Jordan, D., 2024, 33 p.Research output: NLR › Technical Report
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PV Inverter Availability from the U.S. PV Fleet
Deline, C., Springer, M., Perry, K., White, R., Anderson, K. & Tse, I., 2024, National Laboratory of the Rockies (NLR).Research output: NLR › Poster