Version 1
: Received: 7 December 2019 / Approved: 8 December 2019 / Online: 8 December 2019 (17:05:03 CET)
How to cite:
Vujović, I.; Kuzmanić, I.; Petković, M.; Šoda, J. Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set. Preprints2019, 2019120102. https://doi.org/10.20944/preprints201912.0102.v1
Vujović, I.; Kuzmanić, I.; Petković, M.; Šoda, J. Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set. Preprints 2019, 2019120102. https://doi.org/10.20944/preprints201912.0102.v1
Vujović, I.; Kuzmanić, I.; Petković, M.; Šoda, J. Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set. Preprints2019, 2019120102. https://doi.org/10.20944/preprints201912.0102.v1
APA Style
Vujović, I., Kuzmanić, I., Petković, M., & Šoda, J. (2019). Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set. Preprints. https://doi.org/10.20944/preprints201912.0102.v1
Chicago/Turabian Style
Vujović, I., Miro Petković and Joško Šoda. 2019 "Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set" Preprints. https://doi.org/10.20944/preprints201912.0102.v1
Abstract
Real data obtained from ship in operation are processed and analyzed in this paper. The intention was to provide software which would predict ship’s fuel consumption in some future time instant. It is showed that it is possible to develop such software based on numeric fitting of known data. In order to check how well the prediction of future fuel consumption is, we used only the first half of data for obtaining prediction curve. The second part of data was used to compare different prediction curves goodness. Hence, the presented research used actually a “real future data” and forecasted future data, which are used to numerically evaluate goodness of prediction. The research is of interest for companies logistics, to provide adequate fuel for fleet when and where actually needed. It is concluded that there are several prediction functions which satisfy used statistical quality measures.
Keywords
forecasting of fuel demand; ship’s fuel consumption; data fitting; statistical quality measures; signal processing and analysis
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
