A Study of Improvement of a Prediction Accuracy about Wind Resources based on Training Period of Bayesian Kalman Filter Technique
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Published:2017-02-28
Issue:1
Volume:38
Page:11-23
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ISSN:1225-6692
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Container-title:Journal of the Korean earth science society
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language:
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Short-container-title:J. Korean Earth Sci. Soc.
Funder
Pusan National University
Publisher
The Korean Earth Science Society