Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona
Final Accepted Manuscript
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CitationPotter, B. G., Simmons-Potter, K., & Holmgren, W. F. (2018, June). Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona. In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) (pp. 2346-2350). IEEE.
Journal2018 IEEE 7TH WORLD CONFERENCE ON PHOTOVOLTAIC ENERGY CONVERSION (WCPEC) (A JOINT CONFERENCE OF 45TH IEEE PVSC, 28TH PVSEC & 34TH EU PVSEC)
Rights© 2018, IEEE.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractAn overview of University of Arizona cooperative research efforts towards enhanced solar power prediction over PV system operational lifetime is provided. Integration of established research programs in power forecasting (including irradiance and irradiance-to-power modeling) and in device and system-level performance degradation studies offer new opportunities to address solar power prediction needs over short and long-term time horizons.
VersionFinal accepted manuscript
SponsorsUniversity of Arizona Institute for Energy Solutions; Tucson Electric Power; Arizona Public Service; Public Service Company of New Mexico