Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids

4 October 2021

Papers citing "Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids"

7 / 7 papers shown

Title
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency Yuqi Zhou Hao Zhu 19 1 0 09 May 2024
Minimizing Worst-Case Violations of Neural Networks Rahul Nellikkath Spyros Chatzivasileiadis 30 3 0 21 Dec 2022
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions Shaohui Liu Chengyang Wu Hao Zhu 27 47 0 16 May 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems Jochen Stiasny Samuel C. Chevalier Rahul Nellikkath Brynjar Sævarsson Spyros Chatzivasileiadis 21 14 0 14 Mar 2022
Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations Yuqi Zhou Je-Se Park Hao Zhu 11 2 0 23 Nov 2021
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach Sarthak Gupta V. Kekatos Ming Jin 27 20 0 02 May 2021
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 64 310 0 06 Jun 2015