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cs.LG2025
Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport
Alessandro Contini, Davide Cacciarelli, Murat Kulahci
Accurate forecasting of jet fuel demand is crucial for optimizing supply chain operations in the aviation market. Fuel distributors specifically require precise estimates to avoid…
cs.LG2022★ 3 cited
Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders
Davide Cacciarelli, Murat Kulahci, John Tyssedal
Data-driven soft sensors are extensively used in industrial and chemical processes to predict hard-to-measure process variables whose real value is difficult to track during routin…