Implementation of Machine Learning to Increase the Accuracy of Forecasting the Operating Modes of Deep-Sea Pumping Stations
O. Turchyn
Abstract:This study endeavors at implementing ML algorithms that are capable of refining the forecast of operating modes of deep-water pumping stations which offshore processes draw their energy from. The classic forecasting methods often do not take into account the complexity of the underwater environment, and so they tend to show suboptimal efficiency, higher maintenance costs and of course wastage of resources. For this study, different ML algorithms including neural networks, support vector machines, random forest… Show more
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