Power Flow Benchmarks
Case 1
Structure
1,000,000Graphs
7Node Feature Dim
3Edge Feature Dim
Coverage
Joint node-and-edge regression Jointly predict active power, reactive power, and voltage magnitude at buses plus active and reactive flow in both directions on every branch. Evaluated by Accuracy.
Dataset details
Task
Jointly predict active power, reactive power, and voltage magnitude at buses plus active and reactive flow in both directions on every branch. The headline accuracy is the fraction of operating samples satisfying all stated error thresholds.
Data
Case I starts from the IEEE 39-bus, 46-branch system. Local Topology Slicing expands 5,000 selected operating scenarios into one million training subgraphs; separate 100,000-sample test, downscaled, and upscaled sets probe unseen operating conditions.
Features
Nodes represent buses with electrical quantities and edges represent transmission elements with network parameters. Inputs, targets, units, slack-bus treatment, and feasibility status follow the benchmark case generator.
Splits and evaluation
The catalog records these protocols or variants: Standard split. Evaluation uses Accuracy (higher is better). Exact masks or folds must come from the cited release.
Quirks and pitfalls
Only converged, feasible operating points should be compared under the documented policy. Per-unit conventions, topology changes, solver tolerances, and bus-type handling can silently alter labels; these cases do not establish transfer to real grids.
Sources
SOTA Progression
new SOTA
matches SOTA at that time
other proposed result
other baseline result
Leaderboard
| # | Model | Accuracy ↑ | Pearson correlation | Paper |
|---|---|---|---|---|
| 1 | RMGL | 0.9987 | — | Power Flow Benchmarks
no code |
| 2 | MGL | 0.9964 | — | Power Flow Benchmarks
no code |
| 3 | GLR | 0.9963 | — | Power Flow Benchmarks
no code |
| 4 | GLP | 0.9954 | — | Power Flow Benchmarks
no code |
| 5 | GVP-GNN | — Pearson correlation
0.8880 | 0.8880 | |
| 6 | ProQ3D | — Pearson correlation
0.8470 | 0.8470 | |
| 7 | SASHAN | — Pearson correlation
0.8400 | 0.8400 | |
| 8 | FaeNNz | — Pearson correlation
0.8100 | 0.8100 | |
| 9 | VoroMQA-A | — Pearson correlation
0.7440 | 0.7440 | |
| 10 | VoroMQA-B | — Pearson correlation
0.7260 | 0.7260 | |
| 11 | MULTICOM-NOVEL | — Pearson correlation
0.6520 | 0.6520 | |
| 12 | ProQ4 | — Pearson correlation
0.6910 | 0.6910 | |
| 13 | 3DCNN | — Pearson correlation
0.6100 | 0.6100 | |
| 14 | Ornate | — Pearson correlation
0.6700 | 0.6700 | |
| 15 | GraphQA | — Pearson correlation
0.8100 | 0.8100 | |
| 16 | VoroMQA | — Pearson correlation
0.6100 | 0.6100 | |
| 17 | SBROD | — Pearson correlation
0.6400 | 0.6400 |
SOTA performance
set a new SOTA at the time
matched the SOTA at the time