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ZeqBattery — Storage Optimization

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

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

What it does

Battery charge/discharge optimization synchronized to grid R(t). Charge during generation surplus (R_t peaks), discharge during demand peaks (R_t troughs).

Signature

Request

POST /api/energy/battery/optimize
ParamTypeRequiredDefaultDescription
capacityKwhnumberBattery capacity in kWh.
currentSocnumberCurrent state of charge (0–1).
gridPriceProfilearray24-hour price profile array.

Response

{ schedule: [{ hour, action, ratekW, soc }], savingsEstimate, cyclesUsed }

Runnable example

curl -sS -X POST \
-H "Authorization: Bearer $ZEQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"capacityKwh": 0,
"currentSoc": 0,
"gridPriceProfile": []
}' \
"https://api.zeq.dev/api/energy/battery/optimize"

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/battery/optimize in a language SDK so builders can call it in three lines.
  • Medium — publish a reference integration demonstrating ZeqBattery — Storage Optimization alongside a real workload, with pulse-aligned metrics.
  • Far — propose ZeqBattery — Storage Optimization as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

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