Neshat, M.Nezhad, M.M.Abbasnejad, E.Mirjalili, S.Groppi, D.Heydari, A.Tjernberg, L.B.Astiaso Garcia, D.Alexander, B.Shi, Q.Wagner, M.2023-11-212023-11-212021Energy, 2021; 229:120617-1-120617-240360-54421873-6785https://hdl.handle.net/2440/139925Available online 18 April 2021Abstract not availableen© 2021 Elsevier Ltd. All rights reserved.Neuro-evolutionary algorithms; Alternating optimisation algorithm; Recurrent deep learning; Long short-term memory neural network; Adaptive variational mode decomposition; Power prediction model; Wind turbin; Power curveWind turbine power output prediction using a new hybrid neuro-evolutionary methodJournal article10.1016/j.energy.2021.1206172023-11-16578107Neshat, M. [0000-0002-9537-9513]Alexander, B. [0000-0003-4118-2798]Shi, Q. [0000-0002-9126-2107]Wagner, M. [0000-0002-3124-0061]