Data-Adaptive Censoring for Short-Term Wind Speed Predictors Based on MLP, RNN, and SVM-Reference-Cited by-同舟云学术

Data-Adaptive Censoring for Short-Term Wind Speed Predictors Based on MLP, RNN, and SVM

Published:2022-09 Issue:3 Volume:16 Page:3625-3634
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Sarp Ali Ogun¹,Menguc Engin Cemal²^ORCID,Peker Murat³^ORCID,Guvenc Buket Colak²^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Nigde Ömer Halisdemir University, Nigde, Turkey

2. Department of Electrical and Electronics Engineering, Kayseri University, Talas, Turkey

3. Department of Mechatronics Engineering, Bursa Technical University, Bursa, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/9866865/09724193.pdf?arnumber=9724193

Reference58 articles.

1. An augmented CRTRL for complex-valued recurrent neural networks

2. A New Combinatory Approach for Wind Power Forecasting

3. Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

4. Short-term wind speed prediction in wind farms based on banks of support vector machines

5. Support vector machines for wind speed prediction

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