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Lower Energy Costs:
Equipment-specific load forecasting enables reduced energy consumption, resulting in lower energy bills for building owners and tenants.
Increased System Efficiency and Lifespan:
Predictive maintenance predicts when building systems are likely to require repairs, heading off breakdowns before they occur, increasing equipment uptime, and reducing system wear.
Resource Planning and Optimization:
Elipsa's AI-based load forecasting and outlier detection identify real-time anomalies while forecasting future resource needs, allowing for planning and increased efficiency.
Improved Productivity and Comfort:
Real-time predictions allow operators to take corrective measures to ensure optimal environmental conditions.
Reduced Environmental Impact:
Elipsa optimizes the performance of a building's systems, such as HVAC and lighting, through real-time insights that enable operators to reduce energy waste and ensure that systems are operating at peak efficiency.
Data-driven Insights and Visibility:
Elipsa uses leading-edge analytics and AI to monitor and alert users to changes in system operations, providing a single pane of glass for all machine location, usage, and machine health metrics.
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