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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Forecasting |
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| Online Access: | https://www.mdpi.com/2571-9394/4/2/30 |