Reporting of irradiance modeling relative prediction errors | Zendy

Hoff Thomas E. | Zendy; Perez Richard | Zendy; Kleissl Jan | Zendy; Renne David | Zendy; Stein Joshua | Zendy

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Reporting of irradiance modeling relative prediction errors

Author(s) -

Hoff Thomas E.,

Perez Richard,

Kleissl Jan,

Renne David,

Stein Joshua

Publication year - 2013

Publication title -

progress in photovoltaics: research and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.286

H-Index - 131

eISSN - 1099-159X

pISSN - 1062-7995

DOI - 10.1002/pip.2225

Subject(s) - irradiance , range (aeronautics) , statistics , mean squared error , set (abstract data type) , interpretation (philosophy) , approximation error , computer science , data set , dispersion (optics) , mathematics , econometrics , data mining , algorithm , engineering , optics , physics , programming language , aerospace engineering

Metrics used in assessing irradiance model accuracy, such as root mean square error and mean absolute error, are precisely defined. Their relative (%) counterpart, however, can be subject to interpretation and may cover a wide range of values for a given set of data depending on reporting practice. This note evaluates different approaches for the reporting of relative metrics quantifying the dispersion accuracy of a model and formulates recommendations for the most appropriate approach. Copyright © 2012 John Wiley & Sons, Ltd.

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