Abstract: Systems and methods are described for identifying and classifying airflow system types. The system may include: (1) an airflow system configured to receive air via a return air pathway and supply air via a supply air pathway; (2) a first sensor disposed proximate to the supply air pathway of the airflow system to collect supply airflow data; (3) a second sensor disposed proximate to the return air pathway of the airflow system to collect return airflow data; and (4) an electronic device including one or more processors communicatively coupled to a memory storing one or more instructions that cause the one or more processors to: (a) receive airflow system data; (b) analyze the airflow system data to generate airflow system cycle data; and (c) classify, based on the airflow system cycle data, an airflow cycle type of the airflow cycle facilitated by the airflow system.

Abstract: Systems and methods are described for identifying and classifying airflow system types. The system may include: (1) an airflow system receiving air via a return pathway and supplying air via a supply pathway; (2) a comfort sensor to collect supply airflow data; (3) a filter sensor to collect return airflow data; and (4) one or more processors coupled to a memory storing one or more instructions that cause the processors to: (a) receive the supply airflow data; (b) receive the return airflow data; (c) analyze the supply and return airflow data to generate one or more cycle variables; and (d) analyze the cycle variables using a machine learning model, wherein the analyzing includes: (i) generating, using the machine learning model, a class prediction metric based on the one or more cycle variables, and (ii) classifying, based on the class prediction metric, an airflow system type for the airflow system.