Energy Consumption Anomaly Agent
Monitors real-time facility energy consumption data to detect anomalies, equipment inefficiencies, and cost-saving opportunities across sites.
Facility energy consumption is typically reviewed only monthly via utility bills, long after an equipment malfunction or scheduling error has already wasted significant energy and cost
Identifying which specific piece of equipment or system is driving an anomaly requires manual correlation across submeter data, weather, and occupancy schedules that most facilities teams don't have time to do regularly
Energy efficiency opportunities like off-hours HVAC running or lighting left on in unoccupied areas often go unnoticed for months
This agent continuously monitors submeter and building automation system data, detects consumption anomalies in near real time, and pinpoints the likely equipment or scheduling cause, enabling facilities teams to act within hours instead of discovering the cost on next month's bill
The agent ingests real-time or interval energy consumption data from submeters and the building automation system (BAS), along with weather, occupancy schedule, and equipment run-time data. It applies statistical anomaly detection against expected consumption baselines (adjusted for weather and occupancy) to flag deviations, then correlates the anomaly timing and magnitude against equipment schedules and known load profiles to identify the likely cause. An LLM synthesizes the finding into a plain-language alert with estimated cost impact and recommended action, routed to the facilities team, and tracks resolution to confirm the anomaly was addressed.
Establish Consumption Baseline
- Ingest historical interval energy data by meter/submeter
- Adjust baseline for weather and occupancy patterns
- Calculate expected consumption range by time period
- Update baseline continuously as new data arrives
Detect and Diagnose Anomalies
- Compare real-time consumption against expected baseline
- Flag statistically significant deviations
- Correlate timing against equipment schedules and BAS logs
- Identify likely equipment or scheduling root cause
Alert and Recommend Action
- Calculate estimated cost impact of the anomaly
- Generate plain-language alert with recommended action
- Route to facilities team via email/mobile app
- Prioritize alerts by cost impact and duration
Track Resolution and Report Savings
- Monitor consumption after corrective action taken
- Confirm anomaly resolved and consumption normalized
- Calculate realized cost savings from corrections
- Publish monthly energy efficiency report across sites