Smart energy platforms and methods for a property

A computer-implemented method of using a smart energy platform to control energy consumption at a property, the method implemented using a controller including one or more processors, a memory device, a plurality of sensors, and at least one local power generation source located at the property, the method comprising:

• building a model for outputting an energy schedule for a described property based upon historical data for described properties, wherein the historical data includes historical local power generation data and historical property usage data including contextual conditions under which a user has historically been present at the property;
• inputting current energy pricing data corresponding to a location of the property, current local power generation data received from the at least one local power generation source, and current contextual data corresponding to the contextual conditions into the model;
• receiving an energy schedule for the property output by the model in response to the input, the energy schedule specifying, over a predefined period, at least (i) an operating setting for an at least one heating, ventilation, and air conditioning (HVAC) unit and (ii) an operating setting for the at least one local power generation source, the energy schedule associated with a minimized predicted energy cost over the predefined period while maintaining a temperature of the property within a predefined maximum comfort temperature and a predefined minimum comfort temperature during periods in which the user is predicted to be present at the property;
• and
• controlling the at least one HVAC unit and the at least one local power generation source based upon the received energy schedule.

At least one non-transitory computer-readable storage medium having computer-executable instructions embodied thereon, wherein when executed by one or more processors of a controller of a property, the computer-executable instructions cause the one or more processors to:

• build a model for outputting an energy schedule for a described property based upon historical data for described properties, wherein the historical data includes historical local power generation data and historical property usage data including contextual conditions under which a user has historically been present at the property;
• input current energy pricing data corresponding to a location of the property, current local power generation data received from at least one local power generation source, and current contextual data corresponding to the contextual conditions into the model;
• receiving an energy schedule for the property output by the model in response to the input, the energy schedule specifying, over a predefined period, at least (i) an operating setting for an at least one heating, ventilation, and air conditioning (HVAC) unit and (ii) an operating setting for the at least one local power generation source, the energy schedule associated with a minimized predicted energy cost over the predefined period while maintaining a temperature of the property within a predefined maximum comfort temperature and a predefined minimum comfort temperature during periods in which the user is predicted to be present at the property;
• and
• control the at least one HVAC unit and the at least one local power generation source based upon the received energy schedule.