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This paper presents a classification approach based on the power components and applied to the Non-Intrusive Load Monitoring (NILM). The active, reactive and apparent power levels are recorded and are fed to a Decision Tree (DT) classifier to develop the appropriate classification model. The results have shown that using the change in the power components(More)
Abstracf: Linear quadratic Gaussian (LQG) control algorithm linked to Recursive Least Squares (RLS) algorithm has been applied to a multivariate auto-regressive exogenous (MARX) model of ships to construct a ship autopilot. I t has been found from computer Simulation and full-scale experiments aboard a training ship that the autopilot is robust and has good(More)
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