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Abstract Fuel oil consumption (FOC) must be minimized to determine the economic route of a ship; hence, the ship power must be predicted prior to route planning. For this purpose, a numerical method using test results of a model has been widely used. However, predicting ship power using this method is challenging owing to the uncertainty of the model test. An onboard test should be conducted to solve this problem; however, it requires considerable resources and time. Therefore, in this study, a deep feed-forward neural network (DFN) is used to predict ship power using deep learning methods that involve data pattern recognition. To use data in the DFN, the input data and a label (output of prediction) should be configured. In this study, the input data are configured using ocean environmental data (wave height, wave period, wave direction, wind speed, wind direction, and sea surface temperature) and the ship’s operational data (draft, speed, and heading). The ship power is selected as the label. In addition, various treatments have been used to improve the prediction accuracy. First, ocean environmental data related to wind and waves are preprocessed using values relative to the ship’s velocity. Second, the structure of the DFN is changed based on the characteristics of the input data. Third, the prediction accuracy is analyzed using a combination comprising five hyperparameters (number of hidden layers, number of hidden nodes, learning rate, dropout, and gradient optimizer). Finally, k-means clustering is performed to analyze the effect of the sea state and ship operational status by categorizing it into several models. The performances of various prediction models are compared and analyzed using the DFN in this study.
Publication Date 2021-08-12
Role Corresponding Author
Category SCIE
Impact Factor 2.473

June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, Vol. 13, pp. 641-649, 2021.08.12

https://doi.org/10.1016/j.ijnaoe.2021.08.001


List of Articles
번호 분류 제목 Publication Date
34 International Journal Luman Zhao, Myung-Il Roh, "COLREGs-Compliant Multiship Collision Avoidance Based on Deep Reinforcement Learning", Ocean Engineering, Vol. 191, pp. 1-15, 2019.11.01 file 2019-11-01
33 International Journal Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Collision Detection and Response of Multibody Systems Using a Position Difference Method and Non-Interpenetration Constraint in Shipbuilding Simulation", Ocean Engineering, Vol. 195, pp. 1-18, 2020.01.01 file 2020-01-01
32 International Journal Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, “Optimum Arrangement Design of Mastic Ropes for Membrane-type LNG Tanks Considering the Flatness of Thermal Insulation Panel and Production Cost”, Journal of Marine Science and Engineering, Vol. 8, No. 5 file 2020-05-16
31 International Journal Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Sung-Woo Park, "Estimation of Ship Operational Efficiency from AIS Data Using Big Data Technology", IJNAOE, Vol. 12, pp. 440-453, 2020.05.21 file 2020-05-21
30 International Journal Sang-Hyun Lee, Myung-Il Roh, Min-Jae Oh, Ki-Su Kim, "Optimal Layout Design of an LNG FPSO: A Case Study", Journal of Offshore Mechanics and Arctic Engineering, Vol. 142, No. 041403, pp. 1-17, 2020.08.01 file 2020-08-01
29 International Journal Ki-Su Kim, Myung-Il Roh, “ISO 15016:2015-based Method for Estimating the Fuel Oil Consumption of a Ship”, Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 791:1-18, 2020.10.12 file 2020-10-12
28 International Journal Ki-Su Kim, June-Beom Lee, Myung-Il Roh, Ki-Min Han, Gap-Heon Lee, "Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM", Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 805:1-24, 2020.10.14 file 2020-10-14
27 International Journal Joo-Pil Lee, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "Design of a Wreck Removal Method Considering Safety and Economy", Ships and Offshore Structures, Vol. 15, No. 10, pp. 1037-1056, 2020.12.01 file 2020-12-01
26 International Journal Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Block Erection Simulation Considering Frictional Contact with Wire Ropes", Ocean Engineering, Vol. 217, pp. 1-24, 2020.12.01 file 2020-12-01
25 International Journal Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, "Image-based Ship Detection Using Deep Learning", Ocean Systems Engineering, Vol. 10, No. 4, pp. 415-434, 2020.12.01 file 2020-12-01
24 International Journal Ki-Su Kim, Myung-Il Roh, "Dynamic Flooding Analysis Method for Intermediate Flooding Process of a Ship", Ocean Engineering, Vol. 218, pp. 108173.1-33, 2020.12.15 file 2020-12-15
23 International Journal Seung-Ho Ham, Myung-Il Roh, “Time-domain Structural Analysis During Block Turnover and Lifting Using 2D Flexible Multibody Dynamics”, Marine Structures, Vol. 75, pp. 102841.1-26, 2021.01.01 file 2021-01-01
22 International Journal Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Underactuated Crane Control for the Automation of Block Erection in Shipbuilding", Automation in Construction, Vol. 124, pp. 1-28, 2021.04.01 file 2021-04-01
21 International Journal Seung-Min Lee, Jong-Hyeok Lee, Myung-Il Roh, Ki-Su Kim, Seung-Ho Ham, Hye-Won Lee, "An Optimization Model of Tugboat Operation for Conveying a Large Surface Vessel", Journal of Computational Design and Engineering, Vol. 8, No. 2, 2021.04.01 file 2021-04-01
20 International Journal Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Myeong-Jo Son, Jeong-Youl Lee, “Operational Analysis of Container Ships by Using Maritime Big Data”, Journal of Marine Science and Engineering, Vol. 9, No. 4, pp. 438: 1-21, 2021.04.18 file 2021-04-18
19 International Journal Beom-Soo Kim, Min-Jae Oh, Jae-Hoon Lee, Yonghwan Kim, Myung-Il Roh, "Study on Hull Optimization Process Considering Operational Efficiency in Waves", Processes, Vol. 9, No. 5, pp. 898.1-21, 2021.05.19 file 2021-05-19
18 International Journal Jisang Ha, Myung-Il Roh, Seung-Ho Ham, Sung-Jun Lee, “Optimum Design of the Underwater Discharge System Based on Surrogate Modeling”, Journal of Marine Science and Technology (Taiwan), Vol. 29, No. 3, pp. 338-353, 2021.06.01 file 2021-06-01
17 International Journal Jisang Ha, Myung-Il Roh, Hye-Won Lee, “Quantitative Calculation Method of the Collision Risk for Collision Avoidance in Ship Navigation Using the CPA and Ship Domain”, Journal of Computational Design and Engineering, Vol. 8, No. 3, 2021.06.01 file 2021-06-01
» International Journal June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, 2021.08.07 file 2021-08-12
15 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15 file 2021-08-15
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