False data injection attacks (FIDAs) against state estimation in power system\nare a problem that could not be effectively solved by traditional methods. In\nthis paper, we use four outlier detection methods, namely one-Class SVM,\nRobust covariance, Isolation forest and Local outlier factor method from\nmachine learning area in IEEE14 simulation platform for test and compare\ntheir performance. The accuracy and precision were estimated through simulation\nto observe the classification effect.
Loading....