کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6685773 501867 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study
چکیده انگلیسی
Evaluation of the mean errors obtained in the 10-fold cross-validation tests for the year used to represent the short-term wind data period resulted in several conclusions. These included, notably, that the WA gave lower mean errors than the FA in 100% of the cases analysed independently of the metric employed. However, the FA resulted in a significant reduction in computational load and considerable enhancement of model interpretability. When very good correlation coefficients were obtained between the target and reference stations, no significant statistical difference was observed at 5% level between the three models (FA, WA and the models constructed with all the variables) in most of the cases analysed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 158, 15 November 2015, Pages 490-507
نویسندگان
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