Neuronova Intelligence
AI Insights
Recommendations, anomalies and forecasts produced by the platform's AI engine.
Tomorrow's forecast
Predictive energy outlook
Confidence 86% · derived from 30-day baseline & occupancy patterns
Expected Occupancy
92%
Expected Power
410 kWh
Expected Saving
18%
Predicted monthly savings
18%
2.3% vs last period
Energy efficiency score
92/100
1.4% vs last period
Active recommendations
5
0.0% vs last period
Detected anomalies (24h)
3
15.0% vs last period
Empty room consuming power
occupancy · A102
Room A102 shows 150W draw with no occupancy for 42 min. Suggest auto-cut relay after 15 min idle.
Est. saving 18%
Redundant lighting
lighting · B201
B201 lighting active while natural light exceeds 480 lux. Dim schedule recommended.
Est. saving 9%
Overnight anomaly
anomaly · C210
C210 shows 30% higher overnight consumption vs 30-day baseline.
Est. saving 14%
HVAC optimization
hvac · A104
Fan usage in A104 aligns with cooler outdoor conditions. Setback of 1.5°C recommended.
Est. saving 7%
Predicted savings
appliance
Applying recommended policies is forecast to reduce monthly energy by 18%.
Est. saving 18%
Future AI capabilities
Occupancy prediction
Appliance optimization
Maintenance prediction
Consumption forecast
Carbon footprint
Cost forecast
Anomaly detection
Behavior learning
Waste detection
Energy scoring