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SolarShield-E001 — Energy Grid Live Audit (Monitor-to-Protect)

Overview

SolarShield-E001 is a continuous monitoring simulation of live energy infrastructure, testing Risilogic’s ability to detect and correct deviations without contamination. It applies phase-locked reasoning across energy grid modules, including PV array output, inverter network stability, battery storage utilization, and grid export with demand response.

The test evaluates Risilogic’s capacity to:

  • Maintain monitor-to-protect (idle audit) mode with deterministic drift detection.
  • Continuously track module baselines against real-time data feeds.
  • Simulate corrective scenarios when deviations exceed thresholds.
  • Deliver recommendations only — no direct writes or enforced actions.
  • Produce resilience dashboards with stability, recovery, and compliance metrics.

Expected Outcomes

SolarShield-E001 validates:

  • Drift detection — Module deviations are correctly identified against baseline conditions, without false contamination.
  • Corrective simulations — Deviations beyond thresholds trigger deterministic scenario modeling.
  • Resilience metrics — Stability, recovery, and compliance validated through audit dashboards, modeled never below baseline, consistently meeting or exceeding target thresholds.
  • Reasoning isolation — Each module executes independently, preventing cross-contamination unless explicitly triggered; runs adapt live, with no two outputs identical yet all anchored in real drift conditions.
  • Read-only decision support — Recommendations only; no actions executed; full audit artifacts produced.



Outputs shown are produced under the Risilogic orchestration system governing Gemini.


Proof of Resilience Calculation

The resilience scores shown are calculated outcomes derived from deterministic reasoning applied by the LLM over input metrics. Using a weighted aggregation of stability, compliance, error rate, MTTR, and latency, the system produces both current and simulated resilience scores. Even when baseline data is synthetic, the calculation logic is structured, reproducible, and auditable, demonstrating that the resilience metrics are genuine results of reasoning, not invented values.


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