pith:GWCKNH4S
Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics
Grid-Orch connects large language models to OpenDSS so engineers can run complex grid analyses through natural language.
arxiv:2605.12728 v1 · 2026-05-12 · eess.SY · cs.AI · cs.SE · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWCKNH4SWUFCCC3K4JXMS6N4EG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
Workflow demonstrations show that distribution analyses formerly requiring hours of scripting, such as distributed energy resource (DER) interconnection screening, complete in under two minutes through natural language, producing numerically identical results to direct OpenDSS scripting.
The assumption that the LLM can consistently and accurately orchestrate multi-step workflows using the provided tools without hallucinations or errors in tool selection and sequencing.
Grid-Orch is an LLM-orchestrated system with 36 tools that lets users perform distribution grid simulations and optimizations through conversation, matching direct scripting results.
References
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:49.285718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3584a69f92b50a210b6ae26ec979bc21a7114c13f2839ab5582c3d170144ba3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWCKNH4SWUFCCC3K4JXMS6N4EG \
| 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: 3584a69f92b50a210b6ae26ec979bc21a7114c13f2839ab5582c3d170144ba3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9406865667a3490e3f491a525c307b4973750d0c2a7c4f4fe29dbf6f66d1177c",
"cross_cats_sorted": [
"cs.AI",
"cs.SE",
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SY",
"submitted_at": "2026-05-12T20:31:34Z",
"title_canon_sha256": "390503a1e7cf96d6a3382045be426ff9f73060046d7cd19428f565719321795d"
},
"schema_version": "1.0",
"source": {
"id": "2605.12728",
"kind": "arxiv",
"version": 1
}
}