A Naive Bayesian Wind Power Interval Prediction Approach Based on Rough Set Attribute Reduction and Weight Optimization

Intermittency and uncertainty pose great challenges to the large-scale integration of wind power, so research on the probabilistic interval forecasting of wind power is becoming more and more important for power system planning and operation. In this paper, a Naive Bayesian wind power prediction int...

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Bibliographic Details
Main Authors: Xiyun Yang, Guo Fu, Yanfeng Zhang, Ning Kang, Feng Gao
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/10/11/1903