The Energy Prediction Model helps your system learn from the data your system provides and predict future demands so that you can control and optimize your building energy consumption. The Energy Forecaster:
- Predicts energy consumption for buildings.
- Provide insights needed to support peak shaving, load shifting, demand response and sourcing decision.
- Reduces energy consumption, energy costs between 5-10%.
- Uses deep learning processes and customer energy and OAT data to train in real-time.
- Can be periodically retrained to increase prediction accuracy over time.
- Adaptively configure different models for each building.