Projects and publications that use pvlib python

Please add a link and a brief description for projects or publications that use pvlib-python. We keep the list in reverse chronological order.

2017

• Evaluation of statistical learning configurations for gridded solar irradiance forecasting. D. Gagne et al., Solar Energy, 157, 383-393 (2017). doi: 10.1016/j.solener.2017.04.031
• Optimal interpolation of satellite and ground data for irradiance nowcasting at city scales. A. Lorenzo et al. Solar Energy, 144, 466 (2017). doi: 10.1016/j.solener.2017.01.038
• An Open Source Solar Power Forecasting Tool Using PVLIB Python. W. Holmgren et al. American Meteorological Society Conference. January, 2017. pdf
• Utility Scale Solar and Wind Power Variability in the Southwest United States. W. Holmgren et al. American Meteorological Society Conference. January, 2017. pdf
• nabu: A distributed, parallel, data processing platform. A. Lorenzo et al. American Meteorological Society Conference. January, 2017. pdf

2016

• PVLIB: Open Source Photovoltaic Performance Modeling Functions for Matlab and Python. J. Stein et al. 43rd IEEE Photovoltaic Specialist Conference. June, 2016.
• An Open Source Solar Power Forecasting Tool Using PVLIB Python. W. Holmgren et al. Photovoltaics Specialists Conference. June, 2016. pdf
• Evaluation and correction of the impact of spectral variation of irradiance on PV performance. M. Mikofski et al., 43rd IEEE Photovoltaic Specialist Conference, 2016. DOI: 10.1109/PVSC.2016.7749837
• Use of Measured Aerosol Optical Depth and Precipitable Water to Model Clear Sky Irradiance. M. Mikofski et al., 44th IEEE Photovoltaic Specialist Conference, 2017. DOI: 10.1109/PVSC.2017.8366314

2015

• Irradiance forecasts based on an irradiance monitoring network, cloud motion, and spatial averaging. A. Lorenzo et al. Solar Energy, 122, 1158 (2015). doi: 10.1016/j.solener.2015.10.038
• PVLIB Python 2015 PVSC 2015 poster by Holmgren, Lorenzo, Andrews, and Stein. See GitHub repository here.
• The University of Arizona Renewable Energy Network uses pvlib-python to model utility and rooftop solar for the Southwest Variable Energy Resource Initiative. For more on this project, please see sveri.energy.arizona.edu or our public report
• "Photovoltaic System Fault Detection and Diagnostics using Laterally Primed Adaptive Resonance Theory Neural Network" PVSC 2015 paper/poster by Jones, Stein, Gonzalez, King.

2014

• Introduction to the Open Source PV LIB for Python Photovoltaic System Modelling Package. R. Andrews et al. 40th IEEE Photovoltaic Specialist Conference. June, 2014.