VaultSure · QEFO-X
⚙ Live Pipeline

The EngineFour layers. One decision.

QEFO-X runs a four-layer intelligence pipeline. Every panel below is powered by the same server functions the live dashboard consumes.

L1 · Streaming ETL · Numpy
Data Ingestion
DataIngestion()
Inputs
  • → Energy telemetry (kWh)
  • → Market feeds ($/MWh)
  • → Weather (temp, irradiance)
  • → Compute load (GPU %)
Outputs
  • ← Normalised feature matrix
L2 · Ridge regression · Seasonal features
AI Forecasting
AIForecasting()
Inputs
  • → Feature matrix
  • → Historical demand
Outputs
  • ← Demand forecast
  • ← Anomaly z-scores
L3 · QAOA (Qiskit) · Classical fallback
Quantum Optimization
QuantumOptimization()
Inputs
  • → Source costs
  • → Capacity constraints
Outputs
  • ← Grid allocation vector
  • ← QAOA objective
L4 · Value-at-Risk · Portfolio math
Financial Modeling
FinancialModeling()
Inputs
  • → Returns
  • → Positions
  • → Prices
Outputs
  • ← VaR 95%
  • ← Exposure
  • ← Hedge ratios

Live telemetry

Pulled from the running engine server functions.

5.0s
L2 · forecastDemand
QRC + Ridge readout
95.0 MW peak
QRC accuracy 94% · LSTM 79%
spike +332% · sentiment 0.25
L3 · optimizeGrid
95.0 MW · shed
QAOA · 127-qubit sim profile · reps=2
Solar Farm A32%
Wind Cluster B24%
Battery Bank18%
Grid Import14%
Load Shed12%
L4 · riskScore
VaR 95%
$2.71M
Volatility (20d σ)
28.3%
Risk index
40/100
NA-East
29%
EU-West
46%
APAC
57%
LATAM
37%
Cycle history · predicted peak MW
Collecting telemetry cycles…
/api/stream/telemetry · SSE
Opening EventSource…
Connecting
Waiting for first frame…
Autonomous Layer

Arbitrage Agent · Safety Interlock

AI market strategy proposed by the arbitrage agent, then filtered through the deterministic classical interlock before dispatch.

SSE connecting
Agent parameters
AI agent decision
…
…
Battery
—
Throttle
0%
Spot
$—
DC spike
+—%
Classical interlock
CLEARED
Executable battery
—
Executable throttle
0%
Interlock cleared
false
Override triggered
false
QPU · dwaveHardwareCheck
Pegasus Ising probe
h = [-1, -1] · J = +2 · num_reads = 100 · timeout 8000 ms
100
8000
Idle. Click Run to submit a small Ising problem to a Pegasus-topology QPU via your Leap account.
QUBO · storage-dispatch v0
Storage site selection
Q[i,i] = cost − reward · Q[i,j] = +1.5 penalty · Leap hybrid BQM
100
8000
Idle. Click Dispatch to build an n-site QUBO and solve it on Leap (hybrid BQM), with a classical greedy fallback.