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Author Zhang, Jie, Ph. D., author.

Title Metrics for evaluating the accuracy of solar power forecasting : preprint / J. Zhang [and five others].

Publication Info. [Golden, Colo.] : National Renewable Energy Laboratory, October 2013.

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  E 9.17:NREL/CP-5500-60142    ---  Available
Description 1 online resource (8 pages) : color illustrations, color maps.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/CP ; 5500-60142
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5500-60142.
Note "October 2013."
"To be presented at 3rd International Workshop on Integration of Solar Power into Power Systems, London, England, October 21-22, 2013."
Bibliography Includes bibliographical references (page 8).
Summary Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.
Note Title from title screen (viewed on Apr. 11, 2014).
Subject Forecasting -- Methodology.
Solar energy -- United States -- Forecasting.
Interconnected electric utility systems -- Forecasting.
Solar energy -- Research.
Forecasting -- Methodology. (OCoLC)fst00931729
Interconnected electric utility systems -- Forecasting. (OCoLC)fst00976042
Solar energy -- Research. (OCoLC)fst01125027
Genre/Form Online resources.
Electronic books.
Electronic government information.
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
International Workshop on the Integration of Solar Power into Power Systems (3rd : 2013 : London, England)
Gpo Item No. 0430-P-04 (online)
Sudoc No. E 9.17:NREL/CP-5500-60142

 
    
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