A Ship Main Engine Power Predictive Model based on Big Data Analytics and Machine Learning

摘要

In this paper, we design a ship main engine power predictive model topredict main engine power under different meteorological conditions.Before designing the predictive model, huge full scale ship monitoringdata were processed and analyzed. This model uses machine learningmethods to train four sub machine learning models as well asconsidering characters of target ship data. As a result, accuracy of thepredictive power verifies that this main engine power predictive modelcan meet requirements of full scale ship speed optimization.