High-fidelity Reinforcement Learning environment for smart grids. Features a custom DC Power Flow physics solver and real-world AT&C telemetry to train AI in power distribution and fault isolation.
Hybrid Intelligence for Topology Anomaly Detection and Correction in Power Distribution Networks (FCS 2026)
Advanced analytical framework for power distribution network modeling using Python, graph theory, and digital twin technology.
Small daemon and terminal client for remotely switching power outputs, primarily using multiple 16-channel Modbus relay boards R421B16.
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