Vireco automatically generates quantitative models across connected control systems. Low-data dynamics support early deployment, while physics and topology-aware models deepen the representation as the site record grows. Together, they capture system-level behavior and cross-system response.
The initial models are generated from as little as one week of usable historical telemetry when signal quality is sufficient. They estimate how each connected system responds to control choices, measured conditions, and relevant external factors.
Represents how the controlled system changes across the variables available in that environment.
Estimates how setpoints, schedules, dispatch choices, and other controllable inputs affect future behavior.
Uses weather, tariffs, demand patterns, operating calendars, and other site-specific context where available.
As the operating record grows, Vireco adds equipment relationships, site topology, physical constraints, and recurring operating patterns. The resulting models represent how individual systems behave and how their responses propagate across the site.
Represents how equipment, zones, meters, loads, and controllable assets relate across the facility.
Accounts for lag, inertia, coupling, capacity limits, and boundary conditions that shape system behavior.
Strengthens forecasts as the site moves through different weather, schedules, demand levels, and operating modes.
With usable historical telemetry, Vireco can map available signals, validate data quality, generate the initial dynamics models, and begin producing optimization recommendations in under a week. The platform runs above incumbent BMS, SCADA, DCS, PLC, and energy-control systems, leaving real-time protection and safety logic in place.