An Empirical Approach to Monitoring Ship CO\(_2\) Emissions via Partial Least-Squares Regression

  • Antonio Lepore
  • Biagio Palumbo
  • Christian Capezza
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 227)


Kyoto Protocol and competitiveness of the shipping market have been urging shipping companies to pay increasing attention to ship energy efficiency monitoring. At the same time, new monitoring data acquisition systems on modern ships have brought to a navigation data overload that have to be fully utilized via statistical methodologies. For this purpose, an empirical approach based on Partial Least-Squares regression is introduced by means of a real case study in order to give practical indications on CO2 emission control and for supporting prognosis of faults.


Partial least-squares CO2 emission monitoring Prediction error Multivariate control chart 



The authors are grateful to the Grimaldi Group Energy Saving Department engineers Dario Bocchetti and Andrea D’Ambra.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Antonio Lepore
    • 1
  • Biagio Palumbo
    • 1
  • Christian Capezza
    • 1
  1. 1.University of Naples Federico IINaplesItaly

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