Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm

The accurate and stable forecasting of carbon prices is vital for governors to make policies and essential for market participants to make investment decisions, which is important for promoting the development of carbon markets and reducing carbon emissions in China. However, it is challenging to im...

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Vydané v:	Energies (Basel) Ročník 12; číslo 1; s. 147
Hlavní autori:	Xiong, Shenghua, Wang, Chunfeng, Fang, Zhenming, Ma, Dan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2019
Predmet:	Artificial intelligence Carbon carbon price forecasting Chinese carbon emission exchange Climate change Decomposition Emissions Energy fast multi-output relevance vector regression Methods multi-objective whale optimization algorithm Neural networks Optimization algorithms Parameter estimation Prices Studies Time series variational mode decomposition Wavelet transforms United Kingdom > UK United States > US China
ISSN:	1996-1073, 1996-1073
On-line prístup:	Získať plný text
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