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Optimized Start/Stop (OSS) is a smart scheduling system that uses machine learning to turn your equipment on and off at the most efficient times, maximizing energy savings and extending equipment lifespan. It gathers data from various sources such as weather data, occupancy, ambient building temperature, etc., and adjusts to the users operational goals, displaying efficiency results in an easily understandable dashboard.
Optimized Start/Stop offers:
Optimized Start/Stop empowers sustainability and facilities teams to:
The OSS dashboard begins with a snapshot of your property and the external factors impacting internal comfort levels. Here you’ll be able to view the operational mode for the building, any deviations between set points and occupancy start times, and how many devices have hit their targets today. The total devices currently optimized and time stamped data averages will give you an instant read on the health of the equipment.
OSS’ historical data equips you with the possibility to look back over time to determine the useful life of equipment and devices currently scheduled. Visualize where your equipment is not meeting expectations and alert your staff with actionable insights.
Optimized Start/Stop uses machine learning to understand how each device within your space operates and optimizes them based on real data and predictions on scheduling, weather, occupancy and more. It enables stakeholders to take control of their equipment schedules, ensuring that each device is performing at optimal capacity to reach the desired setpoints, reducing excess operational time which in hand reduces energy consumption all while maintaining high comfort levels for the occupants.
If you want to learn more about how Optimized Start/Stop can positively impact your building management operations, let’s connect on LinkedIn or book a demo with our team.
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