Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy.
IEEE Transactions on Industrial Informatics(2018)
摘要
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 performanc...
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关键词
Forecasting,Wind speed,Autoregressive processes,Computational modeling,Informatics,Machine learning,Predictive models
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