Forecasting regional carbon prices in china with a hybrid model based on quadratic decomposition and comprehensive feature screening

In light of global climate change and the objective of carbon neutrality, the carbon market has become an important tool for the international community to combat climate change. Nonetheless, due to the complexity and non-linear nature of the carbon price, its accurate prediction has always been a r...

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Veröffentlicht in:	PloS one Jg. 20; H. 6; S. e0326926
1. Verfasser:	Yi, Yaoyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 30.06.2025 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Artificial intelligence Carbon Carbon - economics China Climate Change Commerce Computer and Information Sciences Decision making Decomposition Deep learning Econometrics Emission standards Emissions credit trading Emissions trading Engineering and Technology Environmental factors Forecasting Forecasts and trends Futures Global climate International trade Kyoto Protocol Long short-term memory Machine learning Methods Neural networks Noise reduction Optimization Physical Sciences Predictions Prices Pricing Research and Analysis Methods Root-mean-square errors Screening Social Sciences Stochastic models Support vector machines Time series China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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