When simulation models are validated against experimental data, model adequacy and accuracy are evaluated using performance indexes that quantify distances between simulated and measured data vectors: amplitude, derivatives, slopes, peaks and valleys, etc. are all possible curve features. Performance indexes have appeared in the literature from different fields of science and are tested for suitability to problems involving electric networks. Indexes are evaluated for sensitivity to typical signal characteristics and the capability of detecting usual differences; tests are performed on synthetic and real cases.
Evaluation of performances of indexes used for validation of simulation models based on real cases
J. Bongiorno;A. Mariscotti
2015-01-01
Abstract
When simulation models are validated against experimental data, model adequacy and accuracy are evaluated using performance indexes that quantify distances between simulated and measured data vectors: amplitude, derivatives, slopes, peaks and valleys, etc. are all possible curve features. Performance indexes have appeared in the literature from different fields of science and are tested for suitability to problems involving electric networks. Indexes are evaluated for sensitivity to typical signal characteristics and the capability of detecting usual differences; tests are performed on synthetic and real cases.File in questo prodotto:
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