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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.