Search Results for author:
Found 6 papers, 2 papers with code
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
We also show that fine-tuning pretrained models on real commercial and residential buildings improves performance for a majority of target buildings.
A Firewall Optimization for Threat-Resilient Micro-Segmentation in Power System Networks
These protocols are vulnerable to cyber threats that power systems, as cyber-physical critical infrastructure, must be protected against.
Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty
Voltage control is crucial to large-scale power system reliable operation, as timely reactive power support can help prevent widespread outages.
Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach
Using this model, a location-cum-domain based fusion framework is proposed and evaluated with different combination rules, that fuse multiple evidence from inter-domain and intra-domain sensors.
Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids
False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart metering devices in power grids.
Multi-Source Data Fusion for Cyberattack Detection in Power Systems
We perform multi-source data fusion for training IDS in a cyber-physical power system testbed where we collect cyber and physical side data from multiple sensors emulating real-world data sources that would be found in a utility and synthesizes these into features for algorithms to detect intrusions.
