Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models

Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models

The scientific evaluation methodology for the forecast accuracy of wind power forecasting models is an important issue in the domain of wind power forecasting. However, traditional forecast evaluation criteria, such as Mean Squared Error (MSE) and Mean Absolute Error (MAE), have limitations in appli...

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Bibliographic Details
Main Authors: Hao Chen, Qiulan Wan, Yurong Wang
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Energies
Subjects:
wind power forecasting evaluation
loss function
Diebold-Mariano (DM) test
augmented DM test
asymmetric DM test
evaluation criteria
Online Access:http://www.mdpi.com/1996-1073/7/7/4185

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http://www.mdpi.com/1996-1073/7/7/4185

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