adaptive robust optimization 1day-ahead scheduling 1grid congestion 1reserve deliverability 1scenario generation 1
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math.OC2026
Constructing Deployment Scenarios for Reserve Deliverability via Adaptive Robust Optimization
Guillaume Van Caelenberg, Akylas Stratigakos, Elina Spyrou
The paper proposes a two‑stage adaptive robust optimization model that generates deployment scenarios of forecast errors to improve reserve deliverability under grid congestion, us…
math.OC2026
End-to-End Pseudo-Measurement Learning for State Estimation under Limited Observability
J. G. De la Varga, S. Pineda, A. Stratigakos +1
Distribution System State Estimation (DSSE) is becoming increasingly important with the integration of Distributed Energy Resources (DERs) and the active operation of distribution…