The problem

Control software for buildings, devices and plant often switches equipment on and off at fixed thresholds, reacting late and overshooting.

The fix you can use today

• Forecast the next few minutes from sensor data and act ahead of time.
• Start with simple, explainable models before deep ones.
• Compare energy and stability against the threshold controller.

GreenCode researchers found that a predictive controller cut greenhouse energy use by over 60%.

Tools that help

• CodeCarbon: a Python package that estimates the energy and CO2 of a run from hardware power and regional grid intensity

How GreenCode helps

GreenCode helps tackle this by measuring what critical software demands of its power supply and reducing it, with quality, security and error rate checked at every pass, so systems run longer on backup or limited power. More on this.

Tags

#embedded#devices#algorithms

Sources

• Short-term forecasting and predictive control of rooftop greenhouse microclimate (Smart Agricultural Technology, 2026)

All GreenCode Tech Tips