Overview

myCoreAI runs a continuous optimization loop on every building: it trains a model from the building's own data, predicts how setpoint changes affect indoor climate and energy use, and writes setpoints to the Building Management System (BMS) that reduce consumption while staying within agreed comfort bounds. The pages in this chapter document the individual features that shape that loop. Which ones are active depends on contract scope and on what the BMS exposes for reading and writing.

Asset and facility management: myCoreAI lowers heating and electricity consumption without capital expenditure, while keeping comfort within contractual limits — improving operating costs and supporting energy management obligations under ISO 50001 and EPBD.

Technical operations: myCoreAI provides a transparent optimization layer over the existing BMS. Setpoint writes, comfort bounds, and the energy/comfort trade-off are all configurable per building and per zone.

Integrators: myCoreAI consumes BMS datapoints over the standard integrations (BACnet, Modbus, vendor APIs) and writes back through the same channels. No parallel control system is introduced.

Core behavior

The optimization loop — model training, comfort-vs-energy trade-off, setpoint writing — is always on for any building under myCoreAI control. The features below tune or extend it.

1. Model. myCoreAI trains a building-specific model from historical sensor and setpoint data.
2. Predict. It forecasts indoor climate and energy response to candidate setpoint moves over the optimization horizon.
3. Decide. It selects the operating point that minimizes energy or cost under the active comfort bounds.
4. Write. It pushes the resulting setpoints to the BMS at the configured cadence.

Features

• Adaptive min/max — Heating Circuit setpoints freedom around the baseline.
• AI Freedom — Setting that lets the myCoreAI get full freedom to ensure energy savings.
• Comfort schedule — Relaxes comfort bounds and ventilation during scheduled or learned unoccupied hours.
• AI Penalty — The trade-off function that balances energy use against comfort deviations.
• Draught control — Prevents Heating Circuit conditions that cause perceived draught in occupied zones.
• Groupings — Logical grouping of sensors for control and reporting.
• Indoor climate baseline — Reference comfort bounds that myCoreAI will determine from the historical data.
• Loadshift — myLoadshift shifts energy use across the day in response to spot electricity prices, while keeping comfort.
• Mixed circuit control — Control logic for buildings where heating and cooling share circuits or sources.