pith:J2TVJONF
Collective and nonlinear structure of wind power correlations
Universal collective nonlinear correlations in wind turbine outputs drive excess persistency and intermittency in farm-aggregated power.
arxiv:2602.10136 v2 · 2026-02-08 · physics.flu-dyn · physics.ao-ph · physics.data-an
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\usepackage{pith}
\pithnumber{J2TVJONFRKHOW4UVWY3GJEGXEQ}
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Claims
We report the presence of universal, collective, and nonlinear correlations, responsible for the excess persistency and intermittency of farm-aggregated power output.
That the identified correlations are truly nonlinear and collective in origin and directly responsible for the observed excess persistency and intermittency, rather than arising from unaccounted confounding factors such as weather or measurement artifacts.
Wind power fluctuations in an 80-turbine farm show universal collective and nonlinear correlations that drive excess persistency and intermittency in aggregated output, revealed by a dynamical scaling transition and long-range non-Gaussian correlations.
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| First computed | 2026-06-02T01:03:42.762732Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ea754b9a58a8eeb7295b6366490d7242070bd80f7a95a89fceb933b44c4c36e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J2TVJONFRKHOW4UVWY3GJEGXEQ \
| 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: 4ea754b9a58a8eeb7295b6366490d7242070bd80f7a95a89fceb933b44c4c36e
Canonical record JSON
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