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.
- Predicts energy consumption for buildings.
- Predictions provide insights needed to support peak shaving, load shifting, demand response and sourcing decision.
- Reduces energy consumption, energy costs between 5-10%.
- Utilizes 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.