Pith Number

pith:G4G2JQT7

pith:2026:G4G2JQT76RE77O3WVCFVBYG56Y

not attested not anchored not stored refs pending

Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization

Ramteen Sioshansi, Shixiang Zhu, Shuyi Chen

A tri-level optimization model lets utilities plan grid sectionalization and targeted shutoffs to cut wildfire ignition risk while preserving service reliability.

arxiv:2604.01232 v4 · 2026-03-21 · math.OC

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\usepackage{pith}
\pithnumber{G4G2JQT76RE77O3WVCFVBYG56Y}

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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

✓ Portable graph bundle live · download bundle · merged state

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

coordinated planning of sectionalization and operational mitigation strategies can substantially reduce wildfire risk while maintaining service reliability

C2weakest assumption

The data-driven uncertainty set combining segment-level prediction intervals with group-level uncertainty budgets accurately represents system-wide ignition uncertainty, and the tri-level model correctly captures interactions between infrastructure planning, risk realization, and adaptive operational decisions.

C3one line summary

A tri-level adaptive robust optimization framework jointly optimizes infrastructure planning and operational responses to mitigate wildfire ignition risk in electricity distribution systems while preserving service reliability.

Cited by

1 paper in Pith

Predictive and Prescriptive AI toward Optimizing Wildfire Suppression

Receipt and verification

First computed	2026-05-25T02:01:18.613665Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

370da4c27ff449ffbb76a88b50e0ddf630dece464758795c21066eee70e748d4

Aliases

arxiv: 2604.01232 · arxiv_version: 2604.01232v4 · doi: 10.48550/arxiv.2604.01232 · pith_short_12: G4G2JQT76RE7 · pith_short_16: G4G2JQT76RE77O3W · pith_short_8: G4G2JQT7

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/G4G2JQT76RE77O3WVCFVBYG56Y \
  | 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: 370da4c27ff449ffbb76a88b50e0ddf630dece464758795c21066eee70e748d4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6bd9fead5e46951dfd5b658ba7c3d7c26b51312d3d495690f5386db2d669f3d2",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2026-03-21T19:57:54Z",
    "title_canon_sha256": "b585a46dba25e040b1ebca40c5dee84543560eca4b1818a56157ecf62305b0dc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.01232",
    "kind": "arxiv",
    "version": 4
  }
}