Solution · 06
Energy and Resource Optimization
Optimize usage. Reduce waste. Improve efficiency.
Use real-time data and AI to optimize energy consumption and resource utilization.
78%
OPTIMIZED
20–40%
Typical energy savings
<1 s
Control loop latency
24/7
Continuous optimization
PLC + IT
OT/IT data unified
Why this matters
Lower costs and sustainable operations
Energy systems often operate inefficiently due to delayed insights. MonkDB enables real-time optimization across grids, plants, and assets.
Energy systems run continuously. Insights should too.
What you get
What MonkDB makes possible for energy and resource optimization
0101 / 04
Real-time monitoring of energy usage
Live consumption telemetry across every asset.
0202 / 04
Predictive optimization models
Forecast load, balance demand, and pre-position resources.
0303 / 04
Dynamic control of resources
Trigger setpoint adjustments and load-shedding inside the engine.
0404 / 04
Continuous efficiency improvements
Outcomes feed back to refine the optimization loop.
How it works
Three steps, one continuous loop
METER
1Live consumption telemetry
Sensors, meters, and SCADA streams feed MonkDB at line rate.
PREDICT
2Forecast and optimize
Predictive models run on live state to forecast demand and find waste.
CONTROL
3Close the loop
Setpoint adjustments and schedule changes execute from inside the engine.
We cut energy spend 28% in the first year. The same engine ingests SCADA, runs the optimization models, and pushes setpoints back to the floor.
Outcome in numbers
- 28%Energy savings, year 1
- <1 sControl latency
- 12Plants live
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