Abstract: System and method for optimizing and reducing the energy usage of an automatically controlled heating, ventilation and air conditioning (“HVAC”) System. The system and method comprise receiving, from a server, a plurality of parameters, the parameters comprising an internal temperature of a structure, an external temperature, a utility pricing structure, and/or a user preference. The system and method may receive, by the server, a plurality of historical data related to the HVAC system and may generate a model. The model may be configured to determine a change to an operational state of the HVAC system needed to obtain an internal temperature set point. The model may be generated using a plurality of parameters received. The model may be revised iteratively. The system and method may receive, by the server, a plurality of additional parameters to revise the model. A signal may be set, by a server, to the HVAC system.

Abstract: System and method for optimizing and reducing the energy usage of an automatically controlled HVAC System. The system and method comprise receiving, from a server, a plurality of parameters, the parameters comprising an internal temperature of a structure, an external temperature, a utility pricing structure, and/or a user preference. The system and method may receive, by the server, a plurality of historical data related to the HVAC system. The system and method may generate a model. The model may be configured to determine a change to an operational state of the HVAC system needed to obtain an internal temperature set point. The model may be generated using a plurality of parameters received. The model may be revised iteratively. The system and method may receive, by the server, a plurality of additional parameters to revise the model. A signal may be set, by a server, to the HVAC system.