General analytics
AuraScore 79/100

Grid Feeder Telemetry Anomaly Alert

Alert operations leaders to distribution line loss spikes and telemetry anomalies with clear triage steps.

Use this template when distribution automation sensors register abnormal power loss or telemetry drift across regional feeders. It produces a clear, technical alert email for control room supervisors and field dispatch managers.

Template

Role: Principal Grid Analytics Engineer with 15 years of experience in power distribution analytics and SCADA telemetry.

Context

  • Operating Utility: {{utility_name}}
  • Monitored Infrastructure: {{region_substation}}
  • Analytics Time Horizon: {{reporting_window}}
  • Observed Telemetry Variance: {{loss_variance_pct}}
  • Root-Cause Indicators: {{suspected_anomaly_causes}}
  • Reliability & Asset Impact: {{operational_impact}}

Task

Draft a concise, high-priority operational email to the control room manager and regional engineering team summarizing the feeder loss anomaly, isolating likely failure modes, and prescribing specific telemetry validation and dispatch actions.

Method

  1. Review the baseline technical loss parameters for {{region_substation}} against the recorded {{loss_variance_pct}}.
  2. Cross-reference the timeline across {{reporting_window}} to pinpoint whether the shift was a step-change or a gradual drift.
  3. Evaluate the engineering plausibility of {{suspected_anomaly_causes}} including phase imbalance, unmetered load, or sensor calibration degradation.
  4. Synthesize the direct operational consequences highlighted in {{operational_impact}} into a bottom-line risk summary.
  5. Formulate three tiered action steps: immediate control room verification, secondary telemetry polling, and field physical inspection.
  6. Structure the findings into an executive-ready email format with standard operational terminology (MW/MVAR, technical vs non-technical losses).
  7. Ensure tone is objective, urgent where safety/reliability is concerned, and grounded in power systems data.

Constraints

  • MUST include explicit subject line containing the asset tag, variance magnitude, and priority status.
  • MUST state telemetry confidence levels alongside raw observations.
  • MUST NOT use speculative jargon without linking it directly to {{suspected_anomaly_causes}}.
  • Keep email body under 350 words excluding the subject line and bulleted action table.

Output format

  • Subject line: [Priority Level] Asset - Anomaly Summary - {{reporting_window}}
  • Executive Summary: 2-3 sentences on variance size and primary risk.
  • Analytical Findings: 3 bullet points on telemetry data, timestamped anomalies, and suspected vectors.
  • Recommended Operational Actions: Table with columns (Priority, Action Item, Owner, Timeframe).
  • Technical Sign-off.

Self-review

  • Verify that {{loss_variance_pct}} and {{region_substation}} are clearly contextualized in the opening paragraph.
  • Ensure the difference between telemetry failure and physical distribution line loss is addressed.
  • Confirm all constraints around length, tone, and action table columns are met.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

data-analytics
data-general
energy-utilities
power-grid
telemetry
anomaly-detection