Pull interval utility data, controls logs, and comfort metrics into one place. Adjust for seasonality, holidays, and special events. A rigorous baseline enables fair comparisons, unlocks utility incentives, and prevents false victories that overlook comfort or simply shift use across hours.
Traditional alarms flood operators with noise. Use analytics to identify root causes, correlate faults across HVAC and lighting, and rank by energy impact and comfort risk. Clear insights let teams fix fewer things, faster, and prove improvements with transparent, shared evidence. At one university, this spotlighted a miswired sensor that had quietly wasted chilled water for years.
Model predictive control or reinforcement learning can fine‑tune setpoints, ventilation rates, and lighting scenes based on goals and constraints. Start with sandboxed pilots, apply guardrails, and monitor comfort feedback, so the system evolves safely, steadily compounding savings without surprises.
All Rights Reserved.