806 citations · 7.4k across the 169 of their papers we have counts for
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PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches
Vassilis Kekatos, Gang Wang, Hao Zhu +1
This chapter aspires to glean some of the recent advances in power system state estimation (PSSE), though our collection is not exhaustive by any means. The Cram{é}r-Rao bound, a l…
Robust and Scalable Power System State Estimation via Composite Optimization
Gang Wang, Georgios B. Giannakis, Jie Chen
In today's cyber-enabled smart grids, high penetration of uncertain renewables, purposeful manipulation of meter readings, and the need for wide-area situational awareness, call fo…
Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramer-Rao Bound
Gang Wang, Ahmed S. Zamzam, Georgios B. Giannakis +1
Accurately monitoring the system's operating point is central to the reliable and economic operation of an electric power grid. Power system state estimation (PSSE) aims to obtain…
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
Network resource allocation shows revived popularity in the era of data deluge and information explosion. Existing stochastic optimization approaches fall short in attaining a desi…
An Online Convex Optimization Approach to Dynamic Network Resource Allocation
Tianyi Chen, Qing Ling, Georgios B. Giannakis
Existing approaches to online convex optimization (OCO) make sequential one-slot-ahead decisions, which lead to (possibly adversarial) losses that drive subsequent decision iterate…