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S. Wang et al.
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Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS
Xin Zhao et al.
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Arsalan Sepehri et al.
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Liangjie Xia et al.
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Analysis and forecasting of the carbon price using multi resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm
Wei Sun et al.
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The Whale Optimization Algorithm
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Suk Joon Byun et al.
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Richard G. Brereton et al.
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