Javad Mohammadi

CoRR, 2024

Data Poisoning: An Overlooked Threat to Power Grid Resilience.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications.

[BibT_eX]

[DOI]

CoRR, 2024

CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities.

[BibT_eX]

[DOI]

CoRR, 2024

Teaching Networks to Solve Optimization Problems.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Learning Assisted Distributed Energy Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Equitable Coordination in Multi-agent Power Systems: Impacts of Computation Granularity.

[BibT_eX]

[DOI]

Yuhan Du

CoRR, 2023

Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping.

[BibT_eX]

[DOI]

CoRR, 2023

Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets.

[BibT_eX]

[DOI]

CoRR, 2023

Electric Vehicle Aggregation Review: Benefits and Vulnerabilities of Managing a Growing EV Fleet.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Solve Optimization Problems With Hard Linear Constraints.

[BibT_eX]

[DOI]

Soheil Kolouri

IEEE Access, 2023

Federated Learning Optimization for Energy Communities in Smart Cities.

[BibT_eX]

[DOI]

Nuno Mendes

Jérôme Mendes

Carlos Henggeler Antunes

Proceedings of the IEEE International Smart Cities Conference, 2023

2022

EVs and ERCOT: Future Adoption Scenarios and Grid Implications.

[BibT_eX]

[DOI]

Kelsey Nelson

CoRR, 2022

Mapping Disruption Sources in the Power Grid and Implications for Resilience.

[BibT_eX]

[DOI]

Maureen S. Golan

CoRR, 2022

Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time.

[BibT_eX]

[DOI]

CoRR, 2022

A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Power Grid Resilience: Data Gaps for Data-Driven Disruption Analysis.

[BibT_eX]

[DOI]

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021

Multi-Objective Decision-Making for Transactive Interactions in Vehicle-to-Building Systems.

[BibT_eX]

[DOI]

Greta K. W. Yu

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

2020

Connecting Distributed Pockets of EnergyFlexibility through Federated Computations: Limitations and Possibilities.

[BibT_eX]

[DOI]

Jesse Thornburg

CoRR, 2020

Transactive Community Microgrids to Share Energy Storage Resources in Portugal.

[BibT_eX]

[DOI]

Uday Sriram

CoRR, 2020

Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time.

[BibT_eX]

[DOI]

Fouad Hasan

Amin Kargarian

CoRR, 2020

Linking Parking and Electricity Values to Unlock Potentials of Electric Vehicles in Portuguese Buildings.

[BibT_eX]

[DOI]

CoRR, 2020

CarnegiePLUG: Prosumer-in-the-Loop simUlation Grid.

[BibT_eX]

[DOI]

Juye Kim

Carolyn Goodman

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Management of Electric Vehicles as Flexibility Resource for Optimized Integration of Renewable Energy with Large Buildings.

[BibT_eX]

[DOI]

Greta K. W. Yu

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Connecting Distributed Pockets of Energy Flexibility through Federated Computations: Limitations and Possibilities.

[BibT_eX]

[DOI]

Jesse Thornburg

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks.

[BibT_eX]

[DOI]

Ahmed Imteaj

CoRR, 2019

Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid.

[BibT_eX]

[DOI]

IEEE Access, 2019

Distributed Intelligent Algorithm for Interdependent Electrified Transportation and Power Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2019

Collaborative Learning Through Shared Collective Knowledge and Local Expertise.

[BibT_eX]

[DOI]

Soheil Kolouri

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

A Fully Distributed Cooperative Charging Approach for Plug-In Electric Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Agent-Based Distributed Security Constrained Optimal Power Flow.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems.

[BibT_eX]

[DOI]

Amin Kargarian

Junyao Guo

Sambuddha Chakrabarti

IEEE Trans. Smart Grid, 2018

Fully Distributed Cooperative Charging for Plug-in Electric Vehicles in Constrained Power Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Distributed Computational Methods for Energy Management in Smart Grids.

[BibT_eX]

[DOI]

PhD thesis, 2016

A fully distributed approach for plug-in electric vehicle charging.

[BibT_eX]

[DOI]

Proceedings of the Power Systems Computation Conference, 2016

Distributed cooperative charging for plug-in electric vehicles: A consensus+innovations approach.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Multilevel distributed approach for DC Optimal Power Flow.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Distributed State Estimation and Energy Management in Smart Grids: A Consensus+Innovations Approach.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2014

Role of communication on the convergence rate of fully distributed DC optimal power flow.

[BibT_eX]

[DOI]