Energy reduction

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for energy reduction are disclosed. In one aspect, a method includes the actions of receiving data from a thermostat, an HVAC system, and one or more temperature sensors associated with a property. The actions further include generating an HVAC performance model based on the received data from the thermostat, the HVAC system, and the one or more temperature sensors associated with the property. The actions further include receiving user data indicating user presence and user preferences. The actions further include identifying an energy penalty score. The actions further include receiving weather data. The actions further include creating an energy routine based on the HVAC performance model, the user data, the identified energy penalty score, and the received weather data. The actions further include transmitting an instruction including the energy routine to one or more devices.

What is claimed is: 
     
         1 . (canceled) 
     
     
         2 . A monitoring system that is configured to monitor a property, the monitoring system comprising:
 a motion sensor that is configured to generate motion sensor data in response to detecting movement in a vicinity of the motion sensor;   a temperature sensor that is configured to generate temperature sensor data that reflects a temperature sensed by the temperature sensor;   a thermostat that is configured to control an HVAC system that provides conditioned air to the property; and   a computer that is configured to:
 access the temperature sensor data generated by the temperature sensor; 
 access HVAC data that indicates past energy consumption of the HVAC system; 
 based on the temperature sensor data and the HVAC data that indicates the past energy consumption of the HVAC system, generate an HVAC performance model that estimates HVAC performance; 
 access the motion sensor data generated by the motion sensor; 
 access at least one user preference that reflects a temperature preference for the property; 
 based on the HVAC performance model, the motion sensor data, and the at least one user preference, generate an operating schedule for the HVAC system; and 
 provide, to the thermostat, the operating schedule for the HVAC system. 
   
     
     
         3 . The monitoring system of  claim 2 , wherein:
 the temperature sensor is an indoor temperature sensor that is configured to generate indoor temperature sensor data that reflects an indoor temperature of the property;   the monitoring system comprises an outdoor temperature sensor that is configured to generate outdoor temperature sensor data that reflects an outdoor temperature of the property;   the computer is configured to generate the HVAC performance model that estimates HVAC performance by generating, based on the indoor temperature sensor data, the outdoor temperature sensor data, and the HVAC data, the HVAC performance model that estimates HVAC performance for given indoor temperature sensor data and given outdoor temperature sensor data.   
     
     
         4 . The monitoring system of  claim 2 , wherein the HVAC performance model is a linear model that approximates subsequent HVAC performance. 
     
     
         5 . The monitoring system of  claim 2 , wherein the computer is configured to:
 determine an occupancy of the property and a location of the occupancy based on the motion sensor data and a location of the motion sensor; and   generate the operating schedule of the HVAC system by generating the operating schedule of the HVAC system based on the HVAC performance model, the occupancy of the property, the location of the occupancy of the property, and the at least one user preference.   
     
     
         6 . The monitoring system of  claim 5 , wherein the computer is configured to:
 determine occupancy prediction data and occupancy location prediction data based on historical motion sensor data and the location of the motion sensor; and   generate the operating schedule of the HVAC system by generating the operating schedule of the HVAC system based on the HVAC performance model, the occupancy prediction data of the property, the occupancy location prediction data, and the at least one user preference.   
     
     
         7 . The monitoring system of  claim 6 , wherein the computer is configured to:
 increase an energy efficiency of the operating schedule of the HVAC system based on the occupancy prediction data of the property indicating an increased confidence that the property will be occupied during performance of the operating schedule of the HVAC system; and   decrease an energy efficiency of the operating schedule of the HVAC system based on the occupancy prediction data of the property indicating a decreased confidence that the property will be occupied during performance of the operating schedule of the HVAC system.   
     
     
         8 . The monitoring system of  claim 2 , wherein the computer is configured to generate the operating schedule of the HVAC system by:
 accessing energy tariff rate data that is based on an energy cost during one or more periods of time during a day, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, and the energy cost during one or more periods of time during a day.   
     
     
         9 . The monitoring system of  claim 2 , wherein the operating schedule of the HVAC system is configured to minimize energy costs associated with HVAC operation. 
     
     
         10 . The monitoring system of  claim 2 , wherein the computer is configured to generate the operating schedule of the HVAC system by:
 accessing weather data associated with a location of the property, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, and the weather data.   
     
     
         11 . The monitoring system of  claim 2 , wherein the computer is configured to generate the operating schedule of the HVAC system by:
 accessing an energy tariff rate for the property,   accessing weather data associated with a location of the property, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, the energy tariff rate, and the weather data.   
     
     
         12 . A computer-implemented method for controlling an HVAC system of a property, the method comprising:
 accessing, by a monitoring system that is configured to monitor the property, temperature sensor data generated by a temperature sensor included in the monitoring system;   accessing, by the monitoring system, HVAC data that indicates past energy consumption of the HVAC system;   based on the temperature sensor data and the HVAC data that indicates the past energy consumption of the HVAC system, generating, by the monitoring system, an HVAC performance model that estimates HVAC performance;   accessing, by the monitoring system, motion sensor data generated by a motion sensor included in the monitoring system;   accessing, by the monitoring system, at least one user preference that reflects a temperature preference for the property;   based on the HVAC performance model, the motion sensor data, and the at least one user preference, generating, by the monitoring system, an operating schedule for the HVAC system; and   providing, by the monitoring system and to a thermostat that is configured to control the HVAC system, the operating schedule for the HVAC system.   
     
     
         13 . The method of  claim 12 , further comprising:
 accessing outdoor temperature sensor data that reflects an outdoor temperature of the property and that was generated by an outdoor temperature sensor included in the monitoring system,   
       wherein:
 accessing the temperature sensor data generated by the temperature sensor included in the monitoring system comprises accessing indoor temperature sensor data that reflects an indoor temperature of the property and that was generated by an indoor temperature sensor included in the monitoring system, and 
 generating the HVAC performance model that estimates HVAC performance comprises generating, based on the indoor temperature sensor data, the outdoor temperature sensor data, and the HVAC data, the HVAC performance model that estimates HVAC performance for given indoor temperature sensor data and given outdoor temperature sensor data. 
 
     
     
         14 . The method of  claim 12 , wherein the HVAC performance model is a linear model that approximates subsequent HVAC performance. 
     
     
         15 . The method of  claim 12 , further comprising:
 determining an occupancy of the property and a location of the occupancy based on the motion sensor data and a location of the motion sensor; and   wherein generating the operating schedule of the HVAC system comprises generating the operating schedule of the HVAC system based on the HVAC performance model, the occupancy of the property, the location of the occupancy of the property, and the at least one user preference.   
     
     
         16 . The method of  claim 15 , further comprising:
 determining occupancy prediction data and occupancy location prediction data based on historical motion sensor data and the location of the motion sensor,   wherein generating the operating schedule of the HVAC system comprises generating the operating schedule of the HVAC system based on the HVAC performance model, the occupancy prediction data of the property, the occupancy location prediction data, and the at least one user preference.   
     
     
         17 . The method of  claim 16 , further comprising:
 increasing an energy efficiency of the operating schedule of the HVAC system based on the occupancy prediction data of the property indicating an increased confidence that the property will be occupied during performance of the operating schedule of the HVAC system; and   decreasing an energy efficiency of the operating schedule of the HVAC system based on the occupancy prediction data of the property indicating a decreased confidence that the property will be occupied during performance of the operating schedule of the HVAC system.   
     
     
         18 . The method of  claim 12 , wherein generating the operating schedule of the HVAC system comprises:
 accessing energy tariff rate data that is based on an energy cost during one or more periods of time during a day, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, and the energy cost during one or more periods of time during a day.   
     
     
         19 . The method of  claim 12 , wherein the operating schedule of the HVAC system is configured to minimize energy costs associated with HVAC operation. 
     
     
         20 . The method of  claim 12 , wherein generating the operating schedule of the HVAC system comprises:
 accessing weather data associated with a location of the property, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, and the weather data.   
     
     
         21 . The method of  claim 12 , wherein generating the operating schedule of the HVAC system comprises:
 accessing an energy tariff rate for the property,   accessing weather data associated with a location of the property, and   generating the operating schedule of the HVAC system based on the HVAC performance model, the motion sensor data, the at least one user preference, the energy tariff rate, and the weather data.