Say goodbye to YoY baselines and hello to predictive modeling
If 2020 taught us anything, it’s that the unexpected is inevitable. After a year of COVID-19 impacting occupancy and consumption levels, building industry metrics are skewed to the point we can’t plan future usage based on historical year-over-year comparisons. Nor can we ignore the stricter indoor air quality guidelines and climate changes driving unpredictable weather patterns that add more uncertainty to strategy sessions. What’s the solution? Establishing new baselines with predictive modeling.
Predictive modeling uses real-time data to establish performance baselines essential to helping teams project resource demand and manage savings against reduction targets. While corporate sustainability requirements are still a top priority, energy managers need to add adjusting to inconsistent occupancy levels, shifting operating hours, and changing public health guidelines to their must-do lists.
Reaching beyond the low-hanging fruit of lighting and meter upgrades
Engaging internal and external stakeholders on resource optimization
Predictive modeling’s role in ensuring occupant health