Spot anomalies. Forecast demand. Get smarter, faster.
Energy Analyst integrates ML and AI directly into the platform workflow. Users select from curated model libraries and train against their own private datasets — no data science degree required. Pre-configured models support both technical engineers and non-technical facility managers alike, with a flexible architecture that grows with your organization.
Four pillars that turn raw data into strategic advantage.
Real-time demand forecasts informed by seasonal, weekly, and hourly patterns. Align energy procurement with budget targets and avoid costly surprises.
Instant detection of unusual energy use patterns. Early alerts and predictive maintenance recommendations keep equipment running efficiently and safely.
Plain-language recommendations tailored to your goals. Continuous performance scoring so you always know where you stand and what to prioritize next.
Best-in-class forecasting models with a flexible, modular architecture. Secure, scalable, and ready to integrate as the AI landscape continues to evolve.
Energy Analyst runs AI-powered daily system scans across your entire portfolio — no manual configuration required. When anomalies are detected, the system automatically generates diagnostic tickets complete with root-cause analysis and impact estimates.
Each ticket includes wasted kWh and dollar amounts, projected equipment lifespan impact, and effects on occupant comfort. Issues are automatically grouped by root cause so your team focuses on systemic fixes rather than chasing individual alarms. A human-in-the-loop review step ensures engineers remain in control before any action is taken.
Unlock smarter, faster, and more resilient energy strategies with Energy Analyst and the T-Star platform.