output
19942026
most citedNew Tolerance Factor to Predict the Stability of Perovskite Oxides and Halides

1.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2019 · math.OCShow all

9 papers · 2 filters

math.OC2019★ 2 cited

Learning-Accelerated ADMM for Distributed Optimal Power Flow

David Biagioni, Peter Graf, Xiangyu Zhang +3

We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) whe…

math.OC2019★ 2 cited

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow

Yue Chen, Andrey Bernstein, Adithya Devraj +1

This paper examines the problem of real-time optimization of networked systems and develops online algorithms that steer the system towards the optimal trajectory without explicit…

math.OC2019

Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback

Yi Guo, Xinyang Zhou, Changhong Zhao +3

Conventional optimal power flow (OPF) solvers assume full observability of the involved system states. However, in practice, there is a lack of reliable system monitoring devices i…

math.OC2019

Matrix Completion Using Alternating Minimization for Distribution System State Estimation

Yajing Liu, April Sagan, Andrey Bernstein +3

This paper examines the problem of state estimation in power distribution systems under low-observability conditions. The recently proposed constrained matrix completion method whi…

math.OC2019★ 14 cited

Gradient-Based Multi-Area Distribution System State Estimation

Xinyang Zhou, Zhiyuan Liu, Yi Guo +3

The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system m…

math.OC2019

Submodular Optimization Problems and Greedy Strategies: A Survey

Yajing Liu, Edwin K. P. Chong, Ali Pezeshki +1

The greedy strategy is an approximation algorithm to solve optimization problems arising in decision making with multiple actions. How good is the greedy strategy compared to the o…

math.OC2019★ 2 cited

Sample Complexity of Power System State Estimation using Matrix Completion

Joshua Comden, Marcello Colombino, Andrey Bernstein +1

In this paper, we propose an analytical framework to quantify the amount of data samples needed to obtain accurate state estimation in a power system - a problem known as sample co…

math.OC2019★ 27 cited

Personalized Optimization with User's Feedback

Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil +1

This paper develops an online algorithm to solve a time-varying optimization problem with an objective that comprises a known time-varying cost and an unknown function. This proble…

math.OC2019★ 53 cited

Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm

Xinyang Zhou, Zhiyuan Liu, Changhong Zhao +1

We propose a hierarchical distributed algorithm to solve optimal power flow (OPF) problems that aim at dispatching controllable distributed energy resources (DERs) for voltage regu…