AI FORECAST & LOAD SCHEDULING
AI-Powered48-hour forecast, AI-analyzed breakdown, and appliance scheduling with AI agent insights
Forecast Accuracy
94.7%
Predicted Peak
148 kW
Tomorrow 11:00-13:00
Sheddable Load
94 kW
4 appliance groups
Scheduled Savings
65 kW
3 active
Monthly Savings
$6,860
vs no optimization
ML model trained on 180 days of historical load, weather, and occupancy patterns
Tomorrow's predicted peak of 148 kW at 12:00 exceeds threshold. Battery will pre-charge overnight.
Shifting HVAC pre-cooling to 05:00-07:00 could save $12.40/day based on 28C forecast.
Wednesday loads are consistently 8% higher. Model adjusted forecast accordingly.
AI adds
$2,430/mo extra
KULR AI Agent
Online -- Analyzing your energy data
Hello! I'm your Energy AI Assistant. I have real-time access to your facility's energy data, weather forecasts, and optimization models.
I can help with peak demand predictions, cost savings analysis, battery status, schedule optimization, and more. What would you like to know?
03:03 AM