Pith Number

pith:CJNARVCP

pith:2026:CJNARVCPITGXFU53464HS5GFLL

not attested not anchored not stored refs resolved

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration

Dylan Cope, Jakob Foerster, Thomas Morstyn, Yihong Zhou

A batched implementation of AC power flow solvers on accelerators achieves over 10 times the speed of existing methods and integrates directly with AI techniques for power system management.

arxiv:2605.14103 v1 · 2026-05-13 · eess.SY · cs.SY

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\pithnumber{CJNARVCPITGXFU53464HS5GFLL}

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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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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

achieving more than 10x speed-ups relative to pandapower and OpenDSS... making it straightforward to embed power-flow evaluation within AI methods for future larger-scale and more complex power-system operation

C2weakest assumption

That the JAX implementations of Newton-Raphson and Z-Bus exactly reproduce the numerical behaviour and convergence properties of the reference solvers across realistic network sizes and operating conditions without hidden accuracy loss or instability.

C3one line summary

A JAX-based batched AC power flow solver delivers over 10x speedups versus pandapower and OpenDSS while integrating directly with AI ecosystems for power-system operation.

References

12 extracted · 12 resolved · 0 Pith anchors

[1] 2018 , url = 2018

[2] Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems , year=

[3] 2018 , url = 2018

[4] Network Topology Optimisation , year =

[5] Stott, B. and Alsac, O. , journal=. Fast Decoupled Load Flow , year=

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-17T23:39:12.075901Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

125a08d44f44cd72d3bbe7b87974c55ad0626321f5c9f0a46e482564da16556e

Aliases

arxiv: 2605.14103 · arxiv_version: 2605.14103v1 · doi: 10.48550/arxiv.2605.14103 · pith_short_12: CJNARVCPITGX · pith_short_16: CJNARVCPITGXFU53 · pith_short_8: CJNARVCP

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CJNARVCPITGXFU53464HS5GFLL \
  | 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: 125a08d44f44cd72d3bbe7b87974c55ad0626321f5c9f0a46e482564da16556e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e5f5b9acae3bb60361aafb3dcf2d5a47197acc4e4bb9cbad17dab29c4996f310",
    "cross_cats_sorted": [
      "cs.SY"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-05-13T20:42:06Z",
    "title_canon_sha256": "2269e59aaf2a5264d942d6c74d884691d5f85c087353619b4443a26695706e96"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14103",
    "kind": "arxiv",
    "version": 1
  }
}