Topology-Aware Transformer for multi-level short-term load forecasting on UMass Smart* and IEEE case33bw (companion code for a manuscript under review)
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Updated
May 17, 2026 - MATLAB
Topology-Aware Transformer for multi-level short-term load forecasting on UMass Smart* and IEEE case33bw (companion code for a manuscript under review)
Load flow analysis of IEEE 33-bus distribution network with PV, BESS, and EV integration using Pandapower | Voltage profile & 24-hour time-series simulation
Developed a hybrid Benders-QAMOO workflow on the IEEE-33 distribution bus network, co-optimizing grid resilience, capital installation cost, and operational voltage control for microgrid and storage siting decisions.
GridOS simulates high-penetration EV charging on the IEEE 33-Bus system. By modeling real-time power flow, transformer thermodynamics, and battery physics, it demonstrates how "Smart Queueing" algorithms prevent catastrophic infrastructure failure and blackouts under heavy load.
IEEE 33-bus backward-forward sweep load flow with PV/BESS/EV scenarios and a 24-hour report dashboard.
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