• DocumentCode
    3665772
  • Title

    Baseline and target values for PV forecasts: Toward improved solar power forecasting

  • Author

    Jie Zhang;Bri-Mathias Hodge;Joseph Simmons;Siyuan Lu;Hendrik F. Hamann;Edwin Campos;Brad Lehman;Venkat Banunarayanan

  • Author_Institution
    National Renewable Energy Laboratory, Golden, CO, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.
  • Keywords
    "Forecasting","Measurement","Predictive models","Weather forecasting","Biological system modeling","Numerical models","Spinning"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286239
  • Filename
    7286239