I’m a Project Scientist with SLAC National Accelerator Laboratory and a PhD candidate in Electrical Engineering at Stanford University, advised by Stephen Boyd. We recently wrote a paper on signal decomposition.
Since 2018, I have been running the PVInsight project for SETO, developing tools to solve digital operations and maintence problems in the solar PV industy. Some of these tools can be found here.
I am interested in machine learning, signal processing, and data mining and their applications in the energy sector. I am particularly interested in topics of large scale renewable integration and distributed energy generation.
Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models
IEEE JOURNAL OF PHOTOVOLTAICS
2020; 10 (2): 546-553
View details for DOI 10.1109/JPHOTOV.2019.2957646
View details for Web of Science ID 000519585600031
Accurate Modeling of Partially Shaded PV Arrays
IEEE. 2017: 3354-3359
View details for Web of Science ID 000455636003077