Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

Volume: 14, Issue: 11, Pages: 4963 - 4971
Published: Jul 9, 2018
Abstract
Recently, wind speed forecasting as an effective computing technique plays an important role in advancing industry informatics, while dealing with these issues of control and operation for renewable power systems. However, it is facing some increasing difficulties to handle the large-scale dataset generated in these forecasting applications, with the purpose of ensuring stable computing performance. In response to such limitation, this paper...
Paper Details
Title
Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy
Published Date
Jul 9, 2018
Volume
14
Issue
11
Pages
4963 - 4971
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