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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine.

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第一作者： S,Syama

第一单位： Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. s_syama@blr.amrita.edu.

作者： S,Syama ^[1] ; J,Ramprabhakar ^[2] ; R,Anand ^[3] ; V P,Meena ^[4] ; Josep M,Guerrero ^[5]

作者单位： Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. s_syama@blr.amrita.edu. ^[1] Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. ^[2] Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. r_anand@blr.amrita.edu. ^[3] Department of Electrical Engineering, National Institute of Technology Jamshedpur, Jharkhand, 831014, India. vmeena1@ee.iitr.ac.in. ^[4] Center for Research on Microgrids (UPC CROM), Department of Electronic Engineering, Technical University of Catalonia, 08019, Barcelona, Spain.;Catalan Institution for Research and Advanced Studies (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain.;Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220, Aalborg East, Denmark. ^[5]

关键词 Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)Dimension Learning Hunting (DLH)Permutation Entropy (PE)Regularized Extreme Learning Machines (RELM)Solar Irradiance forecasting Whale Optimization algorithm Wind Speed forecasting

DOI 10.1038/s41598-024-83836-z

PMID 39738569

发布时间 2025-01-04

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