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Multi-Area Distribution System State Estimation Using Decentralized Physics-Aware Neural Networks

Energies (Basel), 2021-06, Vol.14 (11), p.3025

2021

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Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks

Solar energy, 2021-08, Vol.224, p.341-354

2021

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Data-Driven Learning-Based Optimization for Distribution System State Estimation

IEEE transactions on power systems, 2019-11, Vol.34 (6), p.4796-4805

2019

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Multiarea Distribution System State Estimation via Distributed Tensor Completion

IEEE transactions on smart grid, 2022-11, Vol.13 (6), p.4887-4898

2022

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Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection

IEEE transactions on knowledge and data engineering, 2021-03, Vol.33 (3), p.909-920

2021

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Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables

IEEE transactions on smart grid, 2018-09, Vol.9 (5), p.3966-3975

2018

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Large Scale Tensor Factorization via Parallel Sketches

IEEE transactions on knowledge and data engineering, 2022-01, Vol.34 (1), p.365-378

2022

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Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation

IEEE transactions on wireless communications, 2021-11, Vol.20 (11), p.7431-7444

2021

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Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution

IEEE transactions on control of network systems, 2019-03, Vol.6 (1), p.37-47

2019

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Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections

IEEE transactions on smart grid, 2021-07, Vol.12 (4), p.3232-3241

2021

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Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks

INFORMS journal on computing, 2024-07, Vol.36 (4), p.1040-1063

2024

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Managing Power Systems-Induced Wildfire Risks Using Optimal Scheduled Shutoffs

2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, p.1-5

2022

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Solving Decision-Dependent Games by Learning From Feedback

IEEE Open Journal of Control Systems, 2024, Vol.3, p.295-309

2024

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Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition

2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020, p.191-195

2020

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On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays

IEEE transactions on wireless communications, 2015-12, Vol.14 (12), p.6738-6751

2015

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Energy Storage Management via Deep Q-Networks

2019 IEEE Power & Energy Society General Meeting (PESGM), 2019, p.1-5

2019

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Hierarchical Data-Driven Protection for Microgrids with 100% Renewables

2023 IEEE Energy Conversion Congress and Exposition (ECCE), 2023, p.1506-1513

2023

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Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch

2022 American Control Conference (ACC), 2022, p.2208-2213

2022

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OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets

2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2022, p.1-5

2022

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Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound

IEEE transactions on signal processing, 2018-03, Vol.66 (6), p.1649-1658

2018

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Unsupervised learning for equitable DER control

Electric power systems research, 2024-09, Vol.234 (C), p.110634, Article 110634

2024

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Treatment and outcomes of aortic endograft infection

Journal of vascular surgery, 2016-02, Vol.63 (2), p.332-340

2016

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Learning-Accelerated ADMM for Distributed DC Optimal Power Flow

2021 American Control Conference (ACC), 2021, p.576-581

2021

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Substation-Level Grid Topology Optimization Using Bus Splitting

2021 American Control Conference (ACC), 2021, p.1-7

2021

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Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks: Preprint

2022

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Multi-Area Distribution System State Estimation Using Decentralized Physics-Aware Neural Networks

Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks

Data-Driven Learning-Based Optimization for Distribution System State Estimation

Multiarea Distribution System State Estimation via Distributed Tensor Completion

Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-Phase Systems With Renewables

Large Scale Tensor Factorization via Parallel Sketches

Cell-Edge Detection via Selective Cooperation and Generalized Canonical Correlation

Optimal Water-Power Flow-Problem: Formulation and Distributed Optimal Solution

Exactness of OPF Relaxation on Three-Phase Radial Networks With Delta Connections

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks

Managing Power Systems-Induced Wildfire Risks Using Optimal Scheduled Shutoffs

Solving Decision-Dependent Games by Learning From Feedback

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition

On the Degrees of Freedom of the Two-Cell Two-Hop MIMO Network With Dedicated and Shared Relays

Energy Storage Management via Deep Q-Networks

Hierarchical Data-Driven Protection for Microgrids with 100% Renewables

Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets

Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound

Unsupervised learning for equitable DER control

Treatment and outcomes of aortic endograft infection

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow

Substation-Level Grid Topology Optimization Using Bus Splitting

Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks: Preprint

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