Article

Received 19.01.2025

Revised 20.05.2025

Accepted 20.06.2025

Retrieved from Vol. 28, No. 1, 2025

Pages 121 -131

Bulgakov, M., & Melnyk, O. (2025). Intelligent digital twin utilization for real-time forecastingand optimization of the ship's power system. The National Transport University Bulletin: A Scientific and Technical Journal, 28(1), 121-131. https://doi.org/10.32703/2617-9040-2025-45-9

Intelligent digital twin utilization for real-time forecastingand optimization of the ship's power system

Mykola Bulgakov Oleksiy Melnyk

The paper presents the concept and mathematical model of an intelligent digital twin of a ship’s power system, designed for real-time operation. The proposed solution integrates dynamic energy balance modeling, telemetry signal processing using a Kalman filter, load forecasting with long short-term memory (LSTM) neural networks, anomaly detection mechanisms, and optimization modules. The digital  twin  is  implemented  as  a  modular  software  architecture  capable  of  integration  with  onboard control  systems  and  cloud-based  fleet  analytics  platforms.  A  series  of  computational  experiments  in MATLAB/Simulink  simulates  both  typical  and  critical  operational  conditions,  including  stable  load, overloads,  generator  failures,  voltage  instability,  and  energy-saving  modes.  The  results  demonstrate strong  convergence  between  simulated  and  computed  values,  as  well  as  timely  system  responses  to emerging anomalies and effective optimization decisions. The developed model highlights the potential of  digital  twin  technology  to  enhance  energy  efficiency,  operational  reliability,  and  environmental sustainability in modern maritime transport. It provides a foundation for advanced autonomous energy management and supports compliance with evolving IMO decarbonization and safety requirements

ship power system; digital twin; telemetry; load forecasting; anomaly detection; energy efficiency; autonomous control; intelligent algorithms; real-time operation; IMO
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https://doi.org/10.32703/2617-9040-2025-45-9