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An explainable deep learning framework for marine gas oil price forecasting: integrating LSTM with SHAP-based feature importance

Abstract Bunker fuel prices constitute a major component of maritime transport costs, representing 30–70% of total operating expenses and critically influencing competitiveness, planning, and regulatory compliance in global shipping. Their strong linkage to crude oil dynamics, coupled with additiona...

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Detaylı Bibliyografya
Asıl Yazarlar: Samer Hassan Okasha, Hegazi Zaher
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: SpringerOpen 2026-05-01
Seri Bilgileri:Journal of Shipping and Trade
Konular:
Online Erişim:https://doi.org/10.1186/s41072-026-00237-3
Etiketler: Etiketle
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