Ariel Liebman

Orcid: 0000-0002-5679-4140

According to our database1, Ariel Liebman authored at least 24 papers between 2016 and 2024.

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Bibliography

2024
Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network.
CoRR, 2024

2023
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks.
CoRR, 2023

Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach.
CoRR, 2023

Network-Aware Electric Vehicle Coordination for Vehicle-to-Anything Value Stacking Considering Uncertainties.
CoRR, 2023

GRU based EV Charging Algorithm for Vehicle-to-Home Applications.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2023

MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
A Machine Learning Based Approach for Frequency Response Prediction in Low Inertia Power System.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

False Data Injection Attack Detection for Secure Distributed Demand Response in Smart Grids.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021
The Added Value of Coordinating Inverter Control.
IEEE Trans. Smart Grid, 2021

PUMPNET: a deep learning approach to pump operation detection.
Energy Inform., 2021

Versatile and Robust Transient Stability Assessment via Instance Transfer Learning.
CoRR, 2021

Informed Dashboard Designs for Microgrid Electricity Market Operators.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Data Visualisation for Remote Area Electrification Decision-Making: A Case Study of Indonesia.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

We Can Pay Less: Coordinated False Data Injection Attack Against Residential Demand Response in Smart Grids.
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021

2020
Optimal Recourse Strategy for Battery Swapping Stations Considering Electric Vehicle Uncertainty.
IEEE Trans. Intell. Transp. Syst., 2020

Data-Driven Security Assessment of the Electric Power System.
CoRR, 2020

Inherent Vulnerability of Demand Response Optimisation against False Data Injection Attacks in Smart Grids.
Proceedings of the NOMS 2020, 2020

Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Interaction Between Coordinated and Droop Control PV Inverters.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Large Neighborhood Search for Temperature Control with Demand Response.
Proceedings of the Principles and Practice of Constraint Programming, 2020

2019
High Impact False Data Injection Attack against Real-time Pricing in Smart Grids.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

2018
A Fast and Scalable Algorithm for Scheduling Large Numbers of Devices Under Real-Time Pricing.
Proceedings of the Principles and Practice of Constraint Programming, 2018

2017
Fast Electrical Demand Optimization Under Real-Time Pricing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation.
IEEE Trans. Vis. Comput. Graph., 2016


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