Lighting occupancy sensors offer great potential for decreasing lighting power consumption by enhancing management choices in residential and business buildings. This study introduces a framework that considers occupant conduct to analyze the influence of lighting occupancy sensors on the building lighting power consumption, through the use of agent-primarily based modeling. This examine considers three fundamental occupancy parameters, including variety of occupants, occupant presence and motion, https://historyhub.history.gov/external-link.jspa?url=https://www.podomatic.com/podcasts/retwaey536 and occupant action behavior (i.e., switching the lights on/off on this case). The framework is in a position to analyze the feasibility of installing completely different lighting occupancy sensors and select essentially the most price-effective one, considering particular occupancy behavioral patterns. To validate the mannequin, this research conducted a simplified workplace case study.