prikaz prve stranice dokumenta A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting
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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. i 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, br. 1, 2021, str. 3-15. https://doi.org/10.31217/p.35.1.1

Vorkapić, Aleksandar, Radoslav Radonja i Sanda Martinčić Ipšić. "A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting." Pomorstvo 35, br. 1 (2021): 3-15. https://doi.org/10.31217/p.35.1.1

Vorkapić, A., Radonja, R. i Martinčić Ipšić, S. (2021) 'A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting', Pomorstvo, 35(1), str. 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. [pristupljeno 14.06.2024.];35(1):3-15. doi: 10.31217/p.35.1.1

A. Vorkapić, R. Radonja i S. Martinčić Ipšić, "A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting", Pomorstvo, vol. 35, br. 1, str. 3-15, 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:187:141595. [Citirano: 14.06.2024.]

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Podaci o radu
Naslov (engleski)A framework for the application of shipboard energy efficiency monitoring, operational data prediction and reporting
AutorAleksandar Vorkapić https://orcid.org/0000-0002-7068-4271
AutorRadoslav Radonja https://orcid.org/0000-0001-6686-2381
AutorSanda Martinčić-Ipšić https://orcid.org/0000-0002-1900-5333
Autorova ustanovaSveučilište u Rijeci
Pomorski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Tehnologija prometa i transport
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Prethodno/kratko priopćenje
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaPomorstvo
Brojčani podacivol. 35, br. 1, str. 3-15
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.35.1.1
URN:NBNurn:nbn:hr:187:141595
Datum objave publikacije2021
URL dokumentahttps://hrcak.srce.hr/259283
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2022-02-25 09:02:40