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Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting: Preprint

  • Jie Zhang
  • , Brian Hodge
  • , Siyuan Lu
  • , Hendrik Hamann
  • , Brad Lehman
  • , Joseph Simmons
  • , Edwin Campos
  • , Venkat Banunarayanan
  • IBM
  • Northeastern University
  • University of Arizona
  • Argonne National Laboratory
  • United States Department of Energy

Research output: Contribution to conferencePaper

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. 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.
Original languageAmerican English
Number of pages7
StatePublished - 2015
EventIEEE Power and Energy Society General Meeting - Denver, Colorado
Duration: 26 Jul 201530 Jul 2015

Conference

ConferenceIEEE Power and Energy Society General Meeting
CityDenver, Colorado
Period26/07/1530/07/15

NLR Publication Number

  • NREL/CP-5D00-63876

Keywords

  • grid integration
  • National Renewable Energy Laboratory (NREL)
  • numerical weather prediction
  • operating reserves
  • ramp forecasting
  • solar power forecasting

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