To improve facility performance and occupant experience, building systems depend on human operators to interpret data, adjust set points, and create better rules.
Goals and Objectives
Continuously sense, learn, and predict a building’s energy and environmental patterns to automatically adjust systems for optimal energy savings and occupant comfort.
IoT, smart assets, sensors, edge computing, AI, machine learning, RPA, low code/no code, cloud
Use Case Summary
An autonomous building understands, regulates, and optimizes its own energy consumption, environmental factors and system performance.