Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205123663> ?p ?o ?g. }
- W4205123663 endingPage "32" @default.
- W4205123663 startingPage "32" @default.
- W4205123663 abstract "Efficient vessel operation may reduce operational costs and increase profitability. This is in line with the direction pursued by many marine industry stakeholders such as vessel operators, regulatory authorities, and policymakers. It is also financially justifiable, as fuel oil consumption (FOC) maintenance costs are reduced by forecasting the energy consumption of electric propulsion vessels. Although recent technological advances demand technology for electric propulsion vessel electric power load forecasting, related studies are scarce. Moreover, previous studies that forecasted the loads excluded various factors related to electric propulsion vessels and failed to reflect the high variability of loads. Therefore, this study aims to examine the efficiency of various multialgorithms regarding methods of forecasting electric propulsion vessel energy consumption from various data sampling frequencies. For this purpose, there are numerous machine learning algorithm sets based on convolutional neural network (CNN) and long short-term memory (LSTM) combination methods. The methodology developed in this study is expected to be utilized in training the optimal energy consumption forecasting model, which will support tracking of degraded performance in vessels, optimize transportation, reflect emissions accurately, and be applied ultimately as a basis for route optimization purposes." @default.
- W4205123663 created "2022-01-26" @default.
- W4205123663 creator A5013405706 @default.
- W4205123663 creator A5034484816 @default.
- W4205123663 creator A5038698822 @default.
- W4205123663 creator A5074032225 @default.
- W4205123663 date "2021-12-30" @default.
- W4205123663 modified "2023-10-01" @default.
- W4205123663 title "A Comparative Study on Energy Consumption Forecast Methods for Electric Propulsion Ship" @default.
- W4205123663 cites W1176164761 @default.
- W4205123663 cites W1982618634 @default.
- W4205123663 cites W1983517232 @default.
- W4205123663 cites W2039240409 @default.
- W4205123663 cites W2069143585 @default.
- W4205123663 cites W2091491180 @default.
- W4205123663 cites W2095661997 @default.
- W4205123663 cites W2131774270 @default.
- W4205123663 cites W2136848157 @default.
- W4205123663 cites W2594001349 @default.
- W4205123663 cites W2615756662 @default.
- W4205123663 cites W2781616540 @default.
- W4205123663 cites W2793591033 @default.
- W4205123663 cites W2888025591 @default.
- W4205123663 cites W2917931354 @default.
- W4205123663 cites W2940171604 @default.
- W4205123663 cites W2969183293 @default.
- W4205123663 cites W2994689356 @default.
- W4205123663 cites W3000362904 @default.
- W4205123663 cites W3011590044 @default.
- W4205123663 cites W3016994415 @default.
- W4205123663 cites W3023192521 @default.
- W4205123663 cites W3034457057 @default.
- W4205123663 cites W3047550444 @default.
- W4205123663 cites W3118282482 @default.
- W4205123663 cites W3134632764 @default.
- W4205123663 cites W3195821501 @default.
- W4205123663 cites W3197718776 @default.
- W4205123663 cites W3200099034 @default.
- W4205123663 doi "https://doi.org/10.3390/jmse10010032" @default.
- W4205123663 hasPublicationYear "2021" @default.
- W4205123663 type Work @default.
- W4205123663 citedByCount "4" @default.
- W4205123663 countsByYear W42051236632022 @default.
- W4205123663 countsByYear W42051236632023 @default.
- W4205123663 crossrefType "journal-article" @default.
- W4205123663 hasAuthorship W4205123663A5013405706 @default.
- W4205123663 hasAuthorship W4205123663A5034484816 @default.
- W4205123663 hasAuthorship W4205123663A5038698822 @default.
- W4205123663 hasAuthorship W4205123663A5074032225 @default.
- W4205123663 hasBestOaLocation W42051236631 @default.
- W4205123663 hasConcept C10138342 @default.
- W4205123663 hasConcept C1034443 @default.
- W4205123663 hasConcept C119599485 @default.
- W4205123663 hasConcept C127413603 @default.
- W4205123663 hasConcept C129361004 @default.
- W4205123663 hasConcept C144024400 @default.
- W4205123663 hasConcept C146978453 @default.
- W4205123663 hasConcept C148008966 @default.
- W4205123663 hasConcept C162324750 @default.
- W4205123663 hasConcept C171146098 @default.
- W4205123663 hasConcept C206658404 @default.
- W4205123663 hasConcept C2780165032 @default.
- W4205123663 hasConcept C30772137 @default.
- W4205123663 hasConcept C36289849 @default.
- W4205123663 hasConcept C41008148 @default.
- W4205123663 hasConcept C45882903 @default.
- W4205123663 hasConceptScore W4205123663C10138342 @default.
- W4205123663 hasConceptScore W4205123663C1034443 @default.
- W4205123663 hasConceptScore W4205123663C119599485 @default.
- W4205123663 hasConceptScore W4205123663C127413603 @default.
- W4205123663 hasConceptScore W4205123663C129361004 @default.
- W4205123663 hasConceptScore W4205123663C144024400 @default.
- W4205123663 hasConceptScore W4205123663C146978453 @default.
- W4205123663 hasConceptScore W4205123663C148008966 @default.
- W4205123663 hasConceptScore W4205123663C162324750 @default.
- W4205123663 hasConceptScore W4205123663C171146098 @default.
- W4205123663 hasConceptScore W4205123663C206658404 @default.
- W4205123663 hasConceptScore W4205123663C2780165032 @default.
- W4205123663 hasConceptScore W4205123663C30772137 @default.
- W4205123663 hasConceptScore W4205123663C36289849 @default.
- W4205123663 hasConceptScore W4205123663C41008148 @default.
- W4205123663 hasConceptScore W4205123663C45882903 @default.
- W4205123663 hasFunder F4320322120 @default.
- W4205123663 hasIssue "1" @default.
- W4205123663 hasLocation W42051236631 @default.
- W4205123663 hasLocation W42051236632 @default.
- W4205123663 hasOpenAccess W4205123663 @default.
- W4205123663 hasPrimaryLocation W42051236631 @default.
- W4205123663 hasRelatedWork W2075270816 @default.
- W4205123663 hasRelatedWork W2172036947 @default.
- W4205123663 hasRelatedWork W2258016143 @default.
- W4205123663 hasRelatedWork W2354847464 @default.
- W4205123663 hasRelatedWork W2765655353 @default.
- W4205123663 hasRelatedWork W2766715491 @default.
- W4205123663 hasRelatedWork W2800661001 @default.
- W4205123663 hasRelatedWork W2913440385 @default.
- W4205123663 hasRelatedWork W3000348031 @default.
- W4205123663 hasRelatedWork W585154026 @default.