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Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment

Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment

Alyssa Kody
Samuel C. Chevalier
Spyros Chatzivasileiadis
Daniel Molzahn
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Papers citing "Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment"

10 / 10 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
117
36
0
29 Apr 2023
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
Yichen Zhang
Hantao Cui
Jianzhe Liu
F. Qiu
Tianqi Hong
Rui Yao
F. Li
26
62
0
18 Feb 2021
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
28
90
0
05 Oct 2020
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks
Andreas Venzke
Guannan Qu
S. Low
Spyros Chatzivasileiadis
8
65
0
19 Jun 2020
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow
Daniel Timon Viola
Andreas Venzke
George S. Misyris
Spyros Chatzivasileiadis
94
38
0
17 Mar 2020
Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming
Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming
Joey Huchette
Haihao Lu
Hossein Esfandiari
Vahab Mirrokni
50
7
0
20 Feb 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis
Physics-Guided Deep Neural Networks for Power Flow Analysis
Xinyue Hu
Haoji Hu
Saurabh Verma
Zhi-Li Zhang
175
125
0
31 Jan 2020
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints
Yichen Zhang
Chen Chen
Guodong Liu
Tianqi Hong
F. Qiu
28
40
0
16 Jan 2020
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications
Andreas Venzke
Spyros Chatzivasileiadis
26
67
0
03 Oct 2019
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
ReLU Networks as Surrogate Models in Mixed-Integer Linear Programs
B. Grimstad
H. Andersson
38
139
0
06 Jul 2019

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