Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach

Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequency analysis, which can adapt to various non-st...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	Emmanuel Senyo Fianu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-06-01
Schriftenreihe:	Forecasting
Schlagworte:	energy commodity price analysis ensemble empirical mode decomposition forecasting intrinsic mode function
Online-Zugang:	https://www.mdpi.com/2571-9394/4/2/30
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