LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors. [PDF]
Lei P, Ma F, Zhu C, Li T.
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Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM. [PDF]
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Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting. [PDF]
Xiao F, Yang S, Li X, Ni J.
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Identification of desalination and wind power plants sites using m-polar fuzzy Aczel-Alsina aggregation information. [PDF]
Rahman ZU+4 more
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Interaction energy flow paths analysis of PMSG-based wind power integrated systems during LVRT and its parameter adjustment strategy. [PDF]
Xing C, Xi X, He X, Deng C, Zhang M.
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Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach. [PDF]
Yang X+7 more
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Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance measure-RANCOM-WISP method. [PDF]
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High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system. [PDF]
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Adequate reserves are urgently needed to hedge against wind power forecasting uncertainties in power systems. Traditional reserve quantification sequentially acquires statistical features of wind power and then determines reserve amounts.
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