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
Link To Document :
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