Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona
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Potter_et_al._Solar_Forecastin ...
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Final Accepted Manuscript
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IEEECitation
Potter, 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.Rights
© 2018, IEEE.Collection Information
This 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 repository@u.library.arizona.edu.Abstract
An 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.ISSN
2159-2330Version
Final accepted manuscriptSponsors
University of Arizona Institute for Energy Solutions; Tucson Electric Power; Arizona Public Service; Public Service Company of New MexicoAdditional Links
https://ieeexplore.ieee.org/document/8547422/ae974a485f413a2113503eed53cd6c53
10.1109/PVSC.2018.8547422