ZeqWind — Wind Power Modeling

Power grids, solar, fusion, load-balancing — pulse-synced.

• Protocol ID — zeq-wind
• Category — Energy
• Endpoint — POST /api/energy/wind/predict
• Auth — api-key
• Rate limit — 30/min
• Version — 1.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Wind power prediction using fluid dynamics operators. Weibull distribution + turbine power curve modulated by atmospheric operators.

Signature

Request

POST /api/energy/wind/predict

Param	Type	Required	Default	Description
windSpeedMs	number	✓	—	Mean wind speed (m/s).
hubHeightM	number		80	Turbine hub height. Default: 80.
rotorDiameterM	number		120	Rotor diameter. Default: 120.

Response

{ powerOutputKw, capacityFactor, weibullK, weibullLambda, cutInSpeed, ratedSpeed }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "windSpeedMs": 0,
  "hubHeightM": 80,
  "rotorDiameterM": 120
}' \
  "https://api.zeq.dev/api/energy/wind/predict"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/energy/wind/predict in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqWind — Wind Power Modeling alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqWind — Wind Power Modeling as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.