8 papers
Benchmarking Cyberattack Detection in Electric Vehicle Charging Infrastructure with Benign User Updates
Hannan Chen, Roshni Anna Jacob, Jie Zhang
Cyberattack detection in electric vehicle charging infrastructure is complicated by legitimate post-activation revisions to requested energy and departure time. Charging manipulati…
Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints
Jingbo Wang, Roshni Anna Jacob, Harshal D. Kaushik +1
This paper presents a Vehicle-to-Grid (V2G) coordination framework using reinforcement learning (RL). {An intelligent control strategy based on the soft actor-critic algorithm is d…
Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel +3
Extreme weather events and cyberattacks can cause component failures and disrupt the operation of power distribution networks (DNs), during which reconfiguration and load shedding…
A SISA-based Machine Unlearning Framework for Power Transformer Inter-Turn Short-Circuit Fault Localization
Nanhong Liu, Jingyi Yan, Mucun Sun +1
In practical data-driven applications on electrical equipment fault diagnosis, training data can be poisoned by sensor failures, which can severely degrade the performance of machi…
Multi-agent Power Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks
Harshal D. Kaushik, Roshni Anna Jacob, Souma Chowdhury +1
Restoring power distribution systems after extreme events such as tornadoes presents significant logistical and computational challenges. The complexity arises from the need to coo…
Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion
Jingbo Wang, Harshal D. Kaushik, Jie Zhang
The adoption of electric vehicles (EVs) represents a critical shift in personal mobility, fueled by policy support and advancements in automotive technology. However, the expansion…