Learning-based reactive power dispatch models that work well on synthetic data degrade sharply on a new real-world Uruguay grid dataset, showing tenfold higher errors and frequent constraint violations.
Optimal power flow using graph neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning to Optimally Dispatch Power: Performance on a Nation-Wide Real-World Dataset
Learning-based reactive power dispatch models that work well on synthetic data degrade sharply on a new real-world Uruguay grid dataset, showing tenfold higher errors and frequent constraint violations.