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Real-time Power System State Estimation and Forecasting via Deep Neural
  Networks

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

15 November 2018
Liang Zhang
G. Wang
G. Giannakis
    AI4TS
ArXivPDFHTML

Papers citing "Real-time Power System State Estimation and Forecasting via Deep Neural Networks"

15 / 15 papers shown
Title
Contingency Analyses with Warm Starter using Probabilistic Graphical
  Model
Contingency Analyses with Warm Starter using Probabilistic Graphical Model
Shimiao Li
Amritanshu Pandey
L. Pileggi
AI4CE
34
2
0
10 Apr 2023
Scalability and Sample Efficiency Analysis of Graph Neural Networks for
  Power System State Estimation
Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation
O. Kundacina
Gorana Gojić
M. Cosovic
D. Mišković
D. Vukobratović
24
1
0
28 Feb 2023
Deep Statistical Solver for Distribution System State Estimation
Deep Statistical Solver for Distribution System State Estimation
Benjamin Habib
Elvin Isufi
Ward van Breda
A. Jongepier
J. Cremer
26
18
0
04 Jan 2023
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G
  Networks
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks
O. Kundacina
M. Forcan
M. Cosovic
Darijo Raca
Merim Dzaferagic
D. Mišković
M. Maksimovic
D. Vukobratović
31
5
0
22 Jul 2022
Robust stabilization of polytopic systems via fast and reliable neural
  network-based approximations
Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
F. Fabiani
Paul Goulart
19
5
0
27 Apr 2022
Fast Transient Stability Prediction Using Grid-informed Temporal and
  Topological Embedding Deep Neural Network
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Peiyuan Sun
L. Huo
Siyuan Liang
Xin Chen
27
7
0
23 Jan 2022
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep
  Unrolling
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling
An Liu
Rui Yang
Tony Q.S. Quek
Min-Jian Zhao
20
12
0
05 May 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
40
225
0
23 Mar 2021
Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier
Michael Chertkov
42
49
0
12 Feb 2021
Deep Learning for Intelligent Demand Response and Smart Grids: A
  Comprehensive Survey
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Praveen Kumar
Viet Quoc Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
W. Hwang
41
56
0
20 Jan 2021
Reinforcement Learning for Caching with Space-Time Popularity Dynamics
Reinforcement Learning for Caching with Space-Time Popularity Dynamics
A. Sadeghi
G. Giannakis
Gang Wang
Fatemeh Sheikholeslami
18
1
0
19 May 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
128
124
0
31 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
46
999
0
22 Dec 2019
Bayesian State Estimation for Unobservable Distribution Systems via Deep
  Learning
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning
Kursat Rasim Mestav
Jaime Luengo-Rozas
L. Tong
BDL
31
133
0
07 Nov 2018
Learning ReLU Networks on Linearly Separable Data: Algorithm,
  Optimality, and Generalization
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
G. Wang
G. Giannakis
Jie Chen
MLT
24
131
0
14 Aug 2018
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