supported by the National Natural Science Foundation of China(52477134);the“Hundred Talents Program”of the Chinese Academy of Sciences(E3236102);supported by the National Natural Science Foundation of China(U2066211)。
To improve observability in power distribution networks(PDN),a two-step framework of multi-topology identification and parameter estimation is proposed in this paper.Specifically,in the first step,a mixed-integer line...
National Natural Science Foundation of China(62372464)。
A critical problem in the cube attack is how to recover superpolies efficiently.As the targeting number of rounds of an iterative stream cipher increases,the scale of its superpolies becomes larger and larger.Recently...
supported in part by the Department of Energy(No.DE-AR-0001001,No.DE-EE0009355);the National Science Foundation(NSF)(No.ECCS-2145063)。
Recently,we demonstrated the success of a time-synchronized state estimator using deep neural networks(DNNs)for real-time unobservable distribution systems.In this paper,we provide analytical bounds on the performance...