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 language | American English |
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Number of pages | 7 |
State | Published - 2015 |
Event | IEEE Power and Energy Society General Meeting - Denver, Colorado Duration: 26 Jul 2015 → 30 Jul 2015 |
Conference
Conference | IEEE Power and Energy Society General Meeting |
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City | Denver, Colorado |
Period | 26/07/15 → 30/07/15 |
NREL Publication Number
- NREL/CP-5D00-63876
Keywords
- grid integration
- National Renewable Energy Laboratory (NREL)
- numerical weather prediction
- operating reserves
- ramp forecasting
- solar power forecasting