Occupancy-driven energy management for smart building automation

By Yuvraj Agarwal, Bharathan Balaji, Rajesh E. Gupta, J. Lyles, M. Wei, Thomas Weng. BuildSys@SenSys, 2010

648 citations recorded by the source corpus.

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OBSERVE: Occupancy-based system for efficient reduction of HVAC energy (2011, methodology): “We found SCOPES was able to detect 80% of all recorded transitions within a 24 hour period of time.”
Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings (2013, background): “Motion sensors used for lighting control in modern buildings are inadequate for HVAC control as they fail to detect relatively stationary occupants [8].”
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains (2019, background): “…We extended three domains previously proposed (e.g., Navigation (Faulwasser and Findeisen 2009), HVAC (Heating, Ventilation and Air Conditioning) (Agarwal et al. 2010), and Reservoir Control (Yeh 1985)) in order to incorporate stochastic transitions and additional nonlinearities with the overall…”
Coordinating occupant behavior for building energy and comfort management using multi-agent systems (2012, background): “Theoretical energy simulations have found that the input of real-time occupancy information can reduce HVAC energy consumption by 10–20% [16–19] and can reduce lighting energy consumption”