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Short-Term Wind Speed Forecasting Based on Ensemble Online Sequential Extreme Learning Machine and Bayesian Optimization

Jicheng Quan, Li Shang, Yang Li
<span title="2020-11-27">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
This paper aims to propose a hybrid forecasting approach of short-term wind speed based on a novel signal processing algorithm, a wrapper-based feature selection method, the state-of-art optimization algorithm  ...  The performances of the proposed model were compared with various representative models. The experimental results indicate that the proposed model has better accuracy than the comparison models.  ...  Acknowledgments is study was fully supported by the National Natural Science Foundation of China (grant no. 51308553).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/7212368">doi:10.1155/2020/7212368</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hp5h7qn4grgchcsqsc2rkjsvfa">fatcat:hp5h7qn4grgchcsqsc2rkjsvfa</a> </span>
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