Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints
conference
November 2020
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method
journal
July 2021
Real-Time Optimal Power Flow: A Lagrangian Based Deep Reinforcement Learning Approach
journal
July 2020
A Convex Neural Network Solver for DCOPF With Generalization Guarantees
journal
June 2022
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
journal
April 2020
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow
conference
October 2021
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks
conference
November 2020
Neural networks for power flow: Graph neural solver
journal
December 2020
Graph Neural Solver for Power Systems
conference
July 2019
Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs
journal
July 2018
Energy Function Inspired Value Priority Based Global Wide-Area Control of Power Grid
journal
March 2018
Physics-Guided Deep Neural Networks for Power Flow Analysis
journal
May 2021
Artificial emotional reinforcement learning for automatic generation control of large‐scale interconnected power grids
journal
June 2017
Deep Koopman Controller Synthesis for Cyber-Resilient Market-Based Frequency Regulation
journal
January 2018
Deep Koopman model predictive control for enhancing transient stability in power grids
journal
June 2020
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
conference
July 2019
An integrated critic-actor neural network for reinforcement learning with application of DERs control in grid frequency regulation
journal
October 2019
Power Flow Approximation Based on Graph Convolutional Networks
conference
December 2019
A reduced order model for turbulent flows in the urban environment using machine learning
journal
January 2019
Deep learning and process understanding for data-driven Earth system science
journal
February 2019
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
journal
May 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
journal
November 2022
From DFT to machine learning: recent approaches to materials science–a review
journal
May 2019
Conditional LSTM-GAN for Melody Generation from Lyrics
Yu, Yi; Srivastava, Abhishek; Canales, Simon
ACM Transactions on Multimedia Computing, Communications, and Applications, Vol. 17, Issue 1
https://doi.org/10.1145/3424116
journal
February 2021
Power Grid Reliability Estimation via Adaptive Importance Sampling
journal
January 2022
Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization
conference
December 2021
A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems
journal
December 2020
Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics
conference
June 2021
Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation
conference
October 2021
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method
journal
September 2022
Physics-guided Deep Learning for Power System State Estimation
journal
January 2020
Physics-informed Recurrent Neural Networks for The Identification of a Generic Energy Buffer System
conference
May 2021
Hybrid data‐driven physics model‐based framework for enhanced cyber‐physical smart grid security
journal
April 2020
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks
journal
March 2022
Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks
journal
August 2019
Nonlinear System Identification
book
January 2013
A paradigm for data-driven predictive modeling using field inversion and machine learning
journal
January 2016
Rotor Angle Stability Prediction of Power Systems With High Wind Power Penetration Using a Stability Index Vector
journal
November 2020
Physics-Aware Neural Networks for Distribution System State Estimation
journal
November 2020
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
Ostrometzky, Jonathan; Berestizshevsky, Konstantin; Bernstein, Andrey
Workshop on Autonomous Energy Systems
NREL Golden CO
8/19-20/2020
https://doi.org/10.2172/1655434
conference
August 2020
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks
conference
June 2021
Physics-Informed Neural Networks for Power Systems
conference
August 2020
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
journal
February 2019
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
book
November 2017
Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence
journal
March 2014
Fast Decoupled Load Flow
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May 1974
Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus
journal
January 2020
Machine Learning for Molecular Simulation
journal
April 2020
Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings
journal
June 2019
A theory-guided deep-learning formulation and optimization of seismic waveform inversion
journal
March 2020
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
book
January 2020
Static Equivalent of Distribution Grids With High Penetration of PV Systems
journal
July 2015
A Review of Graph Neural Networks and Their Applications in Power Systems
journal
January 2022
Data-Driven Power Flow Linearization: A Regression Approach
journal
May 2019
A Tour of Reinforcement Learning: The View from Continuous Control
journal
May 2019
Robust mapping rule estimation for power flow analysis in distribution grids
conference
September 2017
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications
journal
January 2021
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
journal
January 2020
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
journal
May 2022
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics
journal
January 2020
Data-Driven Economic NMPC Using Reinforcement Learning
journal
February 2020
Convex Optimization: Algorithms and Complexity
journal
January 2015
(Deep) Reinforcement learning for electric power system control and related problems: A short review and perspectives
journal
January 2019
Deep-Reinforcement-Learning-Based Capacity Scheduling for PV-Battery Storage System
journal
May 2021
State–space modeling for control based on physics-informed neural networks
journal
May 2021
From AlphaGo to Power System AI: What Engineers Can Learn from Solving the Most Complex Board Game
journal
March 2018
Deep learning for universal linear embeddings of nonlinear dynamics
journal
November 2018
The Koopman Operator: Capabilities and Recent Advances
conference
October 2020
Nonlinear Koopman Modes and Power System Stability Assessment Without Models
journal
March 2014
Data-Driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
journal
January 2021
Power grid transient stabilization using Koopman model predictive control
journal
January 2018
Mastering the game of Go without human knowledge
journal
October 2017
A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis
journal
November 2015
Inferring Power System Frequency Oscillations using Gaussian Processes
conference
December 2021
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
journal
October 2017
A Unified Online Deep Learning Prediction Model for Small Signal and Transient Stability
journal
November 2020
Quantum Generative Adversarial Learning
journal
July 2018
Decentralized state estimation of combined heat and power systems using the asynchronous alternating direction method of multipliers
journal
August 2019
Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator
conference
June 2021
A Robust Data-Driven Koopman Kalman Filter for Power Systems Dynamic State Estimation
journal
November 2018
Deep Generative Graph Learning for Power Grid Synthesis
conference
September 2021
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets
journal
March 2021
Physics-induced graph neural network: An application to wind-farm power estimation
journal
November 2019
Physics-Informed Learning for High Impedance Faults Detection
conference
June 2021
AI Feynman: A physics-inspired method for symbolic regression
journal
April 2020
ImageNet: A large-scale hierarchical image database
Deng, Jia; Dong, Wei; Socher, Richard
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 2009 IEEE Conference on Computer Vision and Pattern Recognition
https://doi.org/10.1109/CVPR.2009.5206848
conference
June 2009
Automated reverse engineering of nonlinear dynamical systems
journal
June 2007
Distilling Free-Form Natural Laws from Experimental Data
journal
April 2009
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems
journal
January 2022
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
journal
March 2022
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs
journal
September 2021