Forecast Natural Gas Price by an Extreme Learning Machine Framework Based on Multi-Strategy Grey Wolf Optimizer and Signal Decomposition

Natural gas is one of the most important sources of energy in modern society. However, its strong volatility highlights the importance of accurately forecasting natural gas price trends and movements. The nonlinear nature of the natural gas price series makes it difficult to capture. Therefore, we p...

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Veröffentlicht in:	Sustainability Jg. 17; H. 12; S. 5249
Hauptverfasser:	Wu, Zhuolin, Zhou, Jiaqi, Yu, Xiaobing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2025
Schlagworte:	Accuracy Decomposition (Mathematics) Energy Forecasting Forecasts and trends Gasoline prices Machine learning Mathematical optimization Natural gas Natural gas prices Neural networks Optimization algorithms Prices and rates Time series China
ISSN:	2071-1050, 2071-1050
Online-Zugang:	Volltext
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