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A hybrid structure of an extreme learning machine combined with feature selection, signal decomposition and parameter optimization for short-term wind speed forecasting.
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- Transactions of the Institute of Measurement & Control, 2020, v. 42, n. 1, p. 3, doi. 10.1177/0142331218771141
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- Article
A Compound Structure for Wind Speed Forecasting Using MKLSSVM with Feature Selection and Parameter Optimization.
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- Mathematical Problems in Engineering, 2018, p. 1, doi. 10.1155/2018/9287097
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- Article
A new compound wind speed forecasting structure combining multi-kernel LSSVM with two-stage decomposition technique.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2021, v. 25, n. 2, p. 1479, doi. 10.1007/s00500-020-05233-8
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- Article
A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches.
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- Energies (19961073), 2019, v. 12, n. 18, p. 3586, doi. 10.3390/en12183586
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A New Wind Speed Forecasting Modeling Strategy Using Two-Stage Decomposition, Feature Selection and DAWNN.
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- Energies (19961073), 2019, v. 12, n. 3, p. 334, doi. 10.3390/en12030334
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- Article
A conditionally constrained compound sub‐gradient method for distributed energy coordination.
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- IET Generation, Transmission & Distribution (Wiley-Blackwell), 2023, v. 17, n. 17, p. 3781, doi. 10.1049/gtd2.12912
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- Article
Research on torque feedback equivalent structures in the multi‐layer and multi‐axis synchronisation control model.
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- IET Circuits, Devices & Systems (Wiley-Blackwell), 2022, v. 16, n. 4, p. 301, doi. 10.1049/cds2.12105
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- Article
A new approach of anomaly detection in wireless sensor networks using support vector data description.
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- International Journal of Distributed Sensor Networks, 2017, v. 13, n. 1, p. 1, doi. 10.1177/1550147716686161
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- Article