Pith Number

pith:FX5OJPAA

pith:2025:FX5OJPAAL46B62YVT3RYE4EWUK

not attested not anchored not stored refs pending

PF$\Delta$: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Alvaro Carbonero, Ana K. Rivera, Anvita Bhagavathula, Priya Donti

The PFΔ benchmark provides 859,800 power flow instances to test solvers and ML methods under load, generation, topology, and contingency variations.

arxiv:2510.22048 v4 · 2025-10-24 · cs.LG

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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Claims

C1strongest claim

PFΔ contains 859,800 solved power flow instances spanning six bus system sizes, three contingency types (N, N-1, N-2), and close-to-infeasible cases near steady-state voltage stability limits; evaluations of traditional solvers and GNN-based methods highlight key areas where existing approaches struggle.

C2weakest assumption

The synthetic variations in load, generation, and topology together with the chosen contingency scenarios and near-infeasible points are sufficiently representative of real-world power system uncertainties to serve as a useful benchmark for ML methods.

C3one line summary

PFΔ is a benchmark dataset of 859,800 power flow solutions across six bus system sizes with N/N-1/N-2 contingencies and close-to-infeasible cases to evaluate traditional solvers and GNN methods.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-05T01:14:30.287926Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2dfae4bc005f3c1f6b159ee3827096a2ad34aeaa4f32aeb92b46c93e734723d2

Aliases

arxiv: 2510.22048 · arxiv_version: 2510.22048v4 · doi: 10.48550/arxiv.2510.22048 · pith_short_12: FX5OJPAAL46B · pith_short_16: FX5OJPAAL46B62YV · pith_short_8: FX5OJPAA

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FX5OJPAAL46B62YVT3RYE4EWUK \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2dfae4bc005f3c1f6b159ee3827096a2ad34aeaa4f32aeb92b46c93e734723d2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9f9517b1c845033c0c8c90a14d01efdec30e43e3e01b6a6d2a7471e21a4ae0e2",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-10-24T22:09:09Z",
    "title_canon_sha256": "79e471d4629d323ad2d3287aff1df8062287dde12814991253e1894bf3ea3aad"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2510.22048",
    "kind": "arxiv",
    "version": 4
  }
}