prikaz prve stranice dokumenta A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting
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Scientific paper - Preliminary note / Short communication
A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting
Pomorstvo, 35 (2021), 1; 3-15. https://doi.org/10.31217/p.35.1.1
Vorkapić, Aleksandar; Radonja, Radoslav; Martinčić-Ipšić, Sanda

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Vorkapić, A., Radonja, R. & Martinčić Ipšić, S. (2021). A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting. Pomorstvo, 35. (1), 3-15. doi: 10.31217/p.35.1.1

Vorkapić, Aleksandar, et al. "A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting." Pomorstvo, vol. 35, no. 1, 2021, pp. 3-15. https://doi.org/10.31217/p.35.1.1

Vorkapić, Aleksandar, Radoslav Radonja and Sanda Martinčić Ipšić. "A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting." Pomorstvo 35, no. 1 (2021): 3-15. https://doi.org/10.31217/p.35.1.1

Vorkapić, A., Radonja, R. and Martinčić Ipšić, S. (2021) 'A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting', Pomorstvo, 35(1), pp. 3-15. doi: 10.31217/p.35.1.1

Vorkapić A, Radonja R, Martinčić Ipšić S. A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting. Pomorstvo [Internet]. 2021 [cited 2024 July 03];35(1):3-15. doi: 10.31217/p.35.1.1

A. Vorkapić, R. Radonja and S. Martinčić Ipšić, "A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting", Pomorstvo, vol. 35, no. 1, pp. 3-15, 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:141595. [Accessed: 03 July 2024]

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Metadata
Title (english)A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting
AuthorAleksandar Vorkapić https://orcid.org/0000-0002-7068-4271
AuthorRadoslav Radonja https://orcid.org/0000-0001-6686-2381
AuthorSanda Martinčić-Ipšić https://orcid.org/0000-0002-1900-5333
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
In this study, a framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting based on the ship’s measurement data and meteorological and oceanographic data by the geographic position and time of navigation is presented. General system theory in synergy with machine learning (ML) is used to construct the framework. The general system theory is utilized for identification and transition of components of the proposed framework of energy efficiency monitoring and prediction. A systematic investigation of the internal and external environment is conducted, and the definition of information flow between the individual components provided. Then, the external opportunities and threats that the system faces were opposed to internal strengths and weaknesses to formulate strategies in which weaknesses and threats of the system are offset by existing strengths and probabilities. After assessing the results of the strengths, weaknesses, opportunities and threats (SWOT) and threats, opportunities, weaknesses and strengths (TOWS) analysis, it can be concluded that the proposed framework is feasible and widely applicable in the maritime industry. The novelty is that the proposed framework is using on-board data processing and is integrated into the existing ship monitoring, decision-making and reporting system, thus satisfying the prerequisites for simple application.
Keywords (english)
Languageenglish
Publication typeScientific paper - Preliminary note / Short communication
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorstvo
Numberingvol. 35, no. 1, pp. 3-15
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.35.1.1
URN:NBNurn:nbn:hr:187:141595
Publication2021
Document URLhttps://hrcak.srce.hr/259283
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-25 09:02:40