Ensemble-Empirical-Mode-Decomposition (EEMD) on SWH prediction: The effect of decomposed IMFs, continuous prediction duration, and data-driven models
Yuanye Guo, Jicang Si, Yulian Wang, Farhan Hanif, Shuang Li, Mengwei Wu, Minyi Xu, Jianchun Mi
Topics & Concepts
Hilbert–Huang transformMode (computer interface)Ensemble forecastingDuration (music)Computer scienceDecompositionArtificial intelligencePattern recognition (psychology)Data miningPhysicsComputer visionAcousticsOperating systemBiologyEcologyFilter (signal processing)Energy Load and Power ForecastingHydrological Forecasting Using AIStock Market Forecasting Methods