Smart Grid Prediction
1 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids
This paper presents a Temporal Graph Neural Network (TGNN) framework for detection and localization of false data injection and ramp attacks on the system state in smart grids.
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids
Each household is a decentralized agent with partial observability, which allows scalability and privacy-preservation in a realistic setting.
