ResearchTrend.AI
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach
v1v2 (latest)

Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach

Sarthak Gupta
V. Kekatos
Ming Jin
ArXiv (abs)PDFHTML

Papers citing "Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach"

6 / 6 papers shown
Title
A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback
A Data-Driven Real-Time Optimal Power Flow Algorithm Using Local Feedback
Heng Liang
Yujin Huang
Changhong Zhao
89
0
0
24 Feb 2025
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
Thinh Viet Le
V. Kekatos
53
3
0
14 Nov 2023
Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning
Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning
Sarthak Gupta
V. Kekatos
Spyros Chatzivasileiadis
56
7
0
17 Nov 2022
DNN-based Policies for Stochastic AC OPF
DNN-based Policies for Stochastic AC OPF
Sarthak Gupta
Sidhant Misra
Deepjyoti Deka
V. Kekatos
74
14
0
04 Dec 2021
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Shanny Lin
Shaohui Liu
Hao Zhu
82
9
0
04 Oct 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks
M. Singh
V. Kekatos
G. Giannakis
53
74
0
27 Mar 2021