Deepjyoti Deka

Mario Roberto Arrieta Paternina

Ren Wang

IEEE Trans. Artif. Intell., March, 2024

Learning Distribution Grid Topologies: A Tutorial.

[BibT_eX]

[DOI]

Vassilis Kekatos

Guido Cavraro

IEEE Trans. Smart Grid, January, 2024

Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Equitable Routing - Rethinking the Multiple Traveling Salesman Problem.

[BibT_eX]

[DOI]

Abhay Singh Bhadoriya

Kaarthik Sundar

CoRR, 2024

Contributions of Individual Generators to Nodal Carbon Emissions.

[BibT_eX]

[DOI]

Yize Chen

Yuanyuan Shi

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Mishfad Shaikh Veedu

Murti V. Salapaka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Topology Learning in Radial Dynamical Systems With Unreliable Data.

[BibT_eX]

[DOI]

Venkat Ram Subramanian

IEEE Trans. Control. Netw. Syst., December, 2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

[BibT_eX]

[DOI]

Ognjen Kundacina

Softw. Impacts, May, 2023

Fairly Extreme: Minimizing Outages Equitably.

[BibT_eX]

[DOI]

Kaarthik Sundar

Russell Bent

CoRR, 2023

Data-Efficient Power Flow Learning for Network Contingencies.

[BibT_eX]

[DOI]

Parikshit Pareek

CoRR, 2023

Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes.

[BibT_eX]

[DOI]

Parikshit Pareek

CoRR, 2023

Optimal Power System Topology Control Under Uncertain Wildfire Risk.

[BibT_eX]

[DOI]

CoRR, 2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

[BibT_eX]

[DOI]

Ognjen Kundacina

CoRR, 2023

Malicious Traffic Classification Using Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels.

[BibT_eX]

[DOI]

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach.

[BibT_eX]

[DOI]

Ali Hassan

Yury Dvorkin

IEEE Trans. Smart Grid, 2022

Tractable Learning in Underexcited Power Grids.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Markovian Decentralized Ensemble Control for Demand Response.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Efficient Topology Design Algorithms for Power Grid Stability.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Ranking-Based Physics-Informed Line Failure Detection in Power Grids.

[BibT_eX]

[DOI]

Aleksandra Burashnikova

CoRR, 2022

Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2022

Data-Driven Stochastic AC-OPF using Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2022

Can locational disparity of prosumer energy optimization due to inverter rules be limited?

[BibT_eX]

[DOI]

CoRR, 2022

Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Guaranteed Phase & Topology Identification in Three Phase Distribution Grids.

[BibT_eX]

[DOI]

Mohini Bariya

Alexandra von Meier

IEEE Trans. Smart Grid, 2021

Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Learning With End-Users in Distribution Grids: Topology and Parameter Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Estimating Linear Dynamical Networks of Cyclostationary Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Physics Regulated Neural Network for High Impedance Faults Detection.

[BibT_eX]

[DOI]

CoRR, 2020

A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Tractable learning in under-excited power grids.

[BibT_eX]

[DOI]

CoRR, 2020

Data-Driven Learning and Load Ensemble Control.

[BibT_eX]

[DOI]

CoRR, 2020

Physics informed topology learning in networks of linear dynamical systems.

[BibT_eX]

[DOI]

Autom., 2020

Energy Storage Optimization for Grid Reliability.

[BibT_eX]

[DOI]

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019

Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Stochastic and Distributionally Robust Load Ensemble Control.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic AC Optimal Power Flow: A Data-Driven Approach.

[BibT_eX]

[DOI]

Ilyès Mezghani

CoRR, 2019

An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations.

[BibT_eX]

[DOI]

Ignacio Losada Carreno

CoRR, 2019

Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation.

[BibT_eX]

[DOI]

CoRR, 2019

Arbitrage with Power Factor Correction using Energy Storage.

[BibT_eX]

[DOI]

CoRR, 2019

Learning for DC-OPF: Classifying active sets using neural nets.

[BibT_eX]

[DOI]

CoRR, 2019

Learning a Generator Model from Terminal Bus Data.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Battery Operations using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Exact Topology Learning in a Network of Cyclostationary Processes.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Designing Power Grid Topologies for Minimizing Network Disturbances: An Exact MILP Formulation.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Structure Learning in Power Distribution Networks.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Structure- and Physics-Preserving Reductions of Power Grid Models.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2018

Real-time Fault Localization in Power Grids With Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes.

[BibT_eX]

[DOI]

CoRR, 2018

Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids.

[BibT_eX]

[DOI]

CoRR, 2018

Is Machine Learning in Power Systems Vulnerable?

[BibT_eX]

[DOI]

Yize Chen

Yushi Tan

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Data-Driven Identification of a Thermal Network in Multi-Zone Building.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Topology Learning of Radial Dynamical Systems with Latent Nodes.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Learning in Power Distribution Grids under Correlated Injections.

[BibT_eX]

[DOI]

Sejun Park

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Analytical Models for Power Networks: The Case of the Western U.S. and ERCOT Grids.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2017

Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability.

[BibT_eX]

[DOI]

Sejun Park

CoRR, 2017

Online Learning of Power Transmission Dynamics.

[BibT_eX]

[DOI]

CoRR, 2017

Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints.

[BibT_eX]

[DOI]

Yury Dvorkin

CoRR, 2017

Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources.

[BibT_eX]

[DOI]

CoRR, 2017

Structure- & Physics- Preserving Reductions of Power Grid Models.

[BibT_eX]

[DOI]

CoRR, 2017

Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery.

[BibT_eX]

[DOI]

CoRR, 2017

Integrated multi-scale data analytics and machine learning for the distribution grid.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Estimating topology and injection statistics in distribution grids with hidden nodes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

State and noise covariance estimation in power grids using limited nodal PMUs.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Learning the exact topology of undirected consensus networks.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Optimal topology design for disturbance minimization in power grids.

[BibT_eX]

[DOI]

Harsha Nagarajan

Proceedings of the 2017 American Control Conference, 2017

2016

Learning topology of distribution grids using only terminal node measurements.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Estimating distribution grid topologies: A graphical learning based approach.

[BibT_eX]

[DOI]

Proceedings of the Power Systems Computation Conference, 2016

Jamming Aided Generalized Data Attacks: Exposing Vulnerabilities in Secure Estimation.

[BibT_eX]

[DOI]

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Learning topology of the power distribution grid with and without missing data.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Tractable structure learning in radial physical flow networks.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Structural Vulnerability of Power Grids to Disasters: Bounds, Adversarial Attacks and Reinforcement.

[BibT_eX]

[DOI]

CoRR, 2015

One Breaker is Enough: Hidden Topology Attacks on Power Grids.

[BibT_eX]

[DOI]

CoRR, 2015

Optimal data attacks on power grids: Leveraging detection & measurement jamming.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

Structural vulnerability of power grids to disasters: Bounds and reinforcement measures.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

Data attacks on power grids: Leveraging detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

2014

Hidden Attacks on Power Grid: Optimal Attack Strategies and Mitigation.

[BibT_eX]

[DOI]

CoRR, 2014

Attacking power grids with secure meters: The case for breakers and Jammers.

[BibT_eX]

[DOI]

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

Generative models for cellular social networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2014

Optimal hidden SCADA attacks on power grid: A graph theoretic approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2014

2013

Generative Growth Model for Power Grids.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

2012

Network Models for Power Grids: A Generative Approach

[BibT_eX]

[DOI]

CoRR, 2012

2011

PMU placement and error control using belief propagation.

[BibT_eX]

[DOI]