Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions
Christos K. Filelis-Papadopoulos,
Samuel N. Kirshner,
Philip O’Reilly
Abstract:Unforeseen events (e.g., COVID-19, the Russia-Ukraine conflict) create significant challenges for accurately predicting CO2 emissions in the airline industry. These events severely disrupt air travel by grounding planes and creating unpredictable, ad hoc flight schedules. This leads to many missing data points and data quality issues in the emission datasets, hampering accurate prediction. To address this issue, we develop a predictive analytics method to forecast CO2 emissions using a unique dataset of monthl… Show more
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