pith:22CCPLGI
ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting
ECTO improves wind power forecasts by adaptively selecting key meteorological variables with physical priors and refining outputs through regime-specific experts.
arxiv:2605.12196 v2 · 2026-05-12 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{22CCPLGI22JYONG2JHZZNVPJTS}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
ECTO achieves the lowest MSE across all sites, with relative improvements over the strongest baseline ranging from 2.2% to 5.2%, widening to 8.6% at the longer prediction horizon (H=32). Ablation analysis confirms that each exogenous-related component contributes positively (PGVS +1.84%, ECRR +2.86%).
That the hierarchical, group-aware sparse selection in PGVS using domain-informed physical prior generalizes well and that the mixture-of-experts in ECRR learns meaningful regimes without overfitting to the training data.
ECTO improves ultra-short-term wind power forecasting by 2.2-8.6% using physically-informed variable selection and regime-specific corrections.
Receipt and verification
| First computed | 2026-05-21T01:04:27.785470Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d68427acc8d6938734da49f396d5e99ca6651d1e60c175d1a6dc64baff411a2d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/22CCPLGI22JYONG2JHZZNVPJTS \
| 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: d68427acc8d6938734da49f396d5e99ca6651d1e60c175d1a6dc64baff411a2d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f21f03dc1f57bb650a52a39ebbf958b4569a001abb163d4b086c8e9bfad86645",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-12T14:37:23Z",
"title_canon_sha256": "948bb5f2ffd332dd5d25ee7e33e289ad07c22320eb6785d1fb03210350718138"
},
"schema_version": "1.0",
"source": {
"id": "2605.12196",
"kind": "arxiv",
"version": 2
}
}