Definition #
Machine learning models analyzing energy patterns to reduce waste and improve grid efficiency.
Key Characteristics #
- Smart meter analytics
- Demand-response forecasting
- Carbon footprint tracking
- Renewable energy matching
Why It Matters #
Reduces commercial energy costs by 18-25% while cutting emissions (IEA 2023).
Common Use Cases #
- Building HVAC optimization
- Solar/wind farm output prediction
- Industrial load balancing
Examples #
- Schneider Electric EcoStruxure
- IBM Maximo for Energy
- Google DeepMind for Grids
FAQs #
Q: ROI timeline?
A: 6-24 months depending on facility size. Average 14-month payback period.
Q: Cloud requirements?
A: Edge AI solutions process 80% of data locally for real-time control.