EC.DATA — Energy Intelligence Platform

Smart Energy Alerts — Anomaly Detection & Notifications | EC.DATA

Smart Energy Alerts — Anomaly Detection & Notifications

Configure threshold, schedule, and ML-based alerts across your energy portfolio. Catch demand spikes, equipment faults, and tariff violations before they hit your bill.

Alert Types

  • Threshold alerts — Trigger when energy, demand, or temperature exceeds limits
  • Schedule alerts — Detect energy usage outside expected operating hours
  • ML anomaly detection — AI identifies unusual consumption patterns automatically
  • Equipment fault alerts — Monitor compressor, motor, and HVAC performance indicators
  • Tariff violation alerts — Flag power factor penalties and demand limit exceedances

Notification Channels

Email, SMS, WhatsApp, in-app notifications, webhook integrations, and Slack/Teams connectors.

Catch anomalies before they become utility bills

Most facility issues that inflate energy bills — a stuck damper, a failed compressor stage, an after-hours lighting schedule that never got updated, a tariff switch that changed the demand window — show up in telemetry long before they show up in a utility invoice. EC.Alerts monitors every sub-meter, setpoint, and derived KPI from EC.EMS and EC.BMS continuously and notifies the right person the moment a deviation appears.

Detection combines threshold rules, baseline comparison (weekday 2 p.m. should not be 40% above its typical value), and machine-learning anomaly models from EC.GAIA trained on each circuit's own history. False-positive suppression, escalation chains, and on-call rotations are configurable per building.

Notifications route through email, SMS, Microsoft Teams, Slack, and webhooks; acknowledgements and resolutions are tracked to produce a monthly operations report showing how many issues were caught, how quickly they were closed, and what they would have cost if unnoticed.