• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Potter_et_al._Solar_Forecastin ...
    Size:
    476.6Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Potter, B.G.
    Simmons-Potter, Kelly
    Holmgren, William F.
    Affiliation
    Univ Arizona
    Issue Date
    2018
    Keywords
    solar power generation
    forecasting
    degradation
    photovoltaic cells
    
    Metadata
    Show full item record
    Publisher
    IEEE
    Citation
    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.
    Journal
    2018 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 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
    2159-2330
    DOI
    10.1109/PVSC.2018.8547422
    Version
    Final accepted manuscript
    Sponsors
    University of Arizona Institute for Energy Solutions; Tucson Electric Power; Arizona Public Service; Public Service Company of New Mexico
    Additional Links
    https://ieeexplore.ieee.org/document/8547422/
    ae974a485f413a2113503eed53cd6c53
    10.1109/PVSC.2018.8547422
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.