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2002.00097
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Physics-Guided Deep Neural Networks for Power Flow Analysis
IEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2020
31 January 2020
Xinyue Hu
Haoji Hu
Saurabh Verma
Zhi-Li Zhang
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Papers citing
"Physics-Guided Deep Neural Networks for Power Flow Analysis"
29 / 29 papers shown
Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
Shimiao Li
Aaron Tuor
D. Vrabie
L. Pileggi
Ján Drgoňa
97
0
0
11 Nov 2025
Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Ehimare Okoyomon
Arbel Yaniv
Christoph Goebel
AI4CE
127
0
0
29 Sep 2025
Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
Changhun Kim
Timon Conrad
R. Karim
Julian Oelhaf
David Riebesel
T. Arias-Vergara
Andreas Maier
Johann Jager
Siming Bayer
160
1
0
26 Sep 2025
Rebuild AC Power Flow Models with Graph Attention Networks
Yuting Hu
Jinjun Xiong
134
0
0
25 Sep 2025
Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
Thinh Viet Le
Md Obaidur Rahman
V. Kekatos
192
0
0
03 Sep 2025
Limitations of Physics-Informed Neural Networks: a Study on Smart Grid Surrogation
Julen Cestero
Carmine Delle Femine
Kenji S. Muro
M. Quartulli
Marcello Restelli
PINN
AI4CE
179
1
0
29 Aug 2025
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
Zhen Zhao
Wenqi Huang
Zicheng Wang
Jiaxuan Hou
Peng Li
Mengwei He
329
1
0
18 May 2025
Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
Daniel Glover
Parikshit Pareek
Sidhant Misra
Anamika Dubey
222
0
0
30 Apr 2025
Robustness Analysis of AI Models in Critical Energy Systems
P. Dogoulis
Matthieu Jimenez
Salah Ghamizi
Maxime Cordy
Yves Le Traon
213
1
0
20 Jun 2024
MODL: Multilearner Online Deep Learning
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
483
2
0
28 May 2024
Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids
IEEE Power & Energy Society General Meeting (PESGM), 2023
Mehdi Jabbari Zideh
S. K. Solanki
330
10
0
08 Dec 2023
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
Nan Lin
Stavros Orfanoudakis
Nathan Ordonez Cardenas
Juan S. Giraldo
Pedro P. Vergara
347
46
0
06 Nov 2023
Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
Parikshit Pareek
Sidhant Misra
Sidhant Misra
250
2
0
15 Aug 2023
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning
Energy-Efficient Computing and Networking (e-Energy), 2023
Shimiao Li
Ján Drgoňa
S. Abhyankar
L. Pileggi
AI4CE
300
2
0
21 Apr 2023
Contingency Analyses with Warm Starter using Probabilistic Graphical Model
Electric power systems research (EPSR), 2023
Shimiao Li
Amritanshu Pandey
L. Pileggi
AI4CE
265
5
0
10 Apr 2023
Global Performance Guarantees for Neural Network Models of AC Power Flow
Samuel C. Chevalier
Spyros Chatzivasileiadis
296
8
0
14 Nov 2022
Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach
V. Dvorkin
Samuel C. Chevalier
Spyros Chatzivasileiadis
GNN
181
0
0
18 Sep 2022
Towards Practical Physics-Informed ML Design and Evaluation for Power Grid
Shimiao Li
Amritanshu Pandey
L. Pileggi
AI4CE
236
4
0
07 May 2022
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Bottcher
Hinrikus Wolf
Bastian Jung
Philipp Lutat
M. Trageser
Oliver Pohl
Andreas Ulbig
Martin Grohe
529
19
0
14 Apr 2022
Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
Communications in nonlinear science & numerical simulation (CNSNS), 2022
Peng Shi
Zhi Zeng
Tianshou Liang
AI4CE
292
32
0
26 Jan 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
Applied Energy (Appl. Energy), 2021
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
PINN
AI4CE
389
120
0
06 Dec 2021
Active Sensing for Search and Tracking: A Review
Luca Varotto
Angelo Cenedese
Andrea Cavallaro
188
14
0
04 Dec 2021
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
Electric power systems research (EPSR), 2021
Alyssa Kody
Samuel C. Chevalier
Spyros Chatzivasileiadis
Daniel Molzahn
297
44
0
21 Oct 2021
Semi-supervised physics guided deep learning framework for predicting the I-V characteristics of GAN HEMT
Shivanshu Mishra
Bipin Gaikwad
N. Chaturvedi
AI4CE
177
0
0
20 Oct 2021
Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators
Tannan Xiao
Ying-Cong Chen
Jianquan Wang
Shaowei Huang
Weilin Tong
Tirui He
182
20
0
03 Oct 2021
Machine Learning for Naval Architecture, Ocean and Marine Engineering
Journal of Marine Science and Technology (JMST), 2021
J. Panda
AI4CE
113
55
0
01 Sep 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
G. Worrall
Anand Rangarajan
J. Judge
291
11
0
24 Jun 2021
Deep Active Learning for Solvability Prediction in Power Systems
Journal of Modern Power Systems and Clean Energy (JMPSCE), 2020
Yichen Zhang
Jianzhe Liu
F. Qiu
Tianqi Hong
Rui Yao
171
12
0
27 Jul 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
823
599
0
10 Mar 2020
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