Systems, methods, and devices for greenhouse gas monitoring and control

1 . A method for detecting and controlling a greenhouse gas output for a particular user, the method comprising:

establishing a wireless connection between one or more processors of a server and a plurality of devices associated with the user wherein the plurality of devices includes at least one of an onboard computing device of an electric vehicle, a home appliance, and a power system device;

receiving a device-specific identifier and energy consumption-related data from the plurality of devices via the wireless network connection;

determining, using the energy consumption-related data associated with the user, one or more behavior metrics indicative of an energy consumption behavior of the user;

identifying, using a policy rule crawler that accesses a database of a third-party entity, an energy consumption reduction integration corresponding to the one or more behavior metrics;

causing an indication of the energy consumption reduction integration to be presented at a user interface of a computing device associated with the user;

receiving one or more user inputs at the user interface indicating an acceptance of the energy consumption reduction integration;

integrating the energy consumption reduction integration into a user profile associated with the user by sending, via the wireless connection, control instructions to one or more devices of the plurality of devices to modify at least one operational parameter that affects a functioning of the one or more devices of the plurality of devices to facilitate a reduction of energy consumption for the user; and

determining an accuracy of a first portion of the energy consumption-related data by comparing the first portion of the energy consumption-related data to a second portion of the energy consumption-related data, wherein the first portion includes the one or more user inputs at the user interface and second portion includes data directly from the one or more devices of the plurality of devices.

2 . The method of claim 1 , further comprising:

calculating, using the energy consumption-related data, a plurality of score values from which a ranking value associated with the user, and corresponding to an aggregation of the energy consumption behavior, is determined.

3 . The method of claim 2 , wherein the plurality of score values includes at least one of:

a driving score value;

an electric vehicle usage score value; or

a battery degradation value.

4 . The method of claim 2 , further comprising determining that the ranking value is above or below a predetermined threshold value, wherein identifying the energy consumption reduction integration is responsive to the ranking value being above or below the predetermined threshold value.

5 . The method of claim 4 , wherein the ranking value relates to usage of an electric vehicle, the energy consumption reduction integration is a credit, and integrating the energy consumption reduction integration into the user profile includes applying the credit to an account associated with the electric vehicle.

6 . A computer-readable non-transitory memory device storing instructions that, when executed by a processor, performs operations comprising:

establishing a wireless connection between one or more processors of a server and a plurality of devices associated with the user, wherein the plurality of devices includes an onboard computing device of an electric vehicle, and at least one of a home appliance, or a power system device;

receiving a device-specific identifier and energy consumption-related data from the plurality of devices via the wireless network connection;

identifying one or more device identifiers corresponding to one or more devices associated with the user, at least one of the one or more device identifiers being an electric vehicle identifier;

receiving energy consumption-related data from the one or more devices resulting from one or more energy consumption behaviors of the user, the one or more energy consumption behaviors including at least a driving behavior;

determining, based on the energy consumption-related data, one or more behavior metrics;

identifying an energy consumption reduction integration corresponding to the one or more behavior metrics;

causing an indication of the energy consumption reduction integration to be presented at a user interface of a computing device associated with the user;

receiving a user input at the user interface indicating an acceptance of the energy consumption reduction integration;

integrating, at least partly responsive to the user input, the energy consumption reduction integration into a user profile associated with the user by sending control instructions to the plurality of devices to modify at least one operational parameter that affects a functioning of the one or more devices of the plurality of devices to facilitate a reduction of energy consumption for the user; and

determining an accuracy of a first portion of the energy consumption-related data by comparing the first portion of the energy consumption-related data to a second portion of the energy-related data, wherein the first portion includes the one or more user inputs at the user interface and the second portion includes data directly from the one or more devices of the plurality of devices.

7 . The computer-readable non-transitory memory device of claim 6 , wherein determining the one or more behavior metrics includes calculating an amount of time of electric vehicle usage.

8 . The computer-readable non-transitory memory device of claim 6 , wherein the instructions, when executed by the processor, performs operations including calculating, based on the energy consumption-related data, a battery degradation rate for an electric vehicle, wherein the energy consumption reduction integration includes a battery replacement program.

9 . The computer-readable non-transitory memory device of claim 6 , wherein the instructions, when executed by the processor, performs operations including:

receiving a plurality of energy consumption-related data from a plurality of users;

calculating a plurality of scores based on the plurality of energy consumption-related data; and

causing a ranking, associated with the user and based on a comparison to the plurality of scores, to be presented at a mobile device of the user.

10 . The computer-readable non-transitory memory device of claim 6 , wherein the instructions, when executed by the processor, performs operations including:

receiving a plurality of energy consumption-related data from a plurality of users;

determining a battery charging pattern based on the plurality of energy consumption-related data; and

causing an indication of the battery charging pattern to be presented at a computing device associated with the user.

11 . The computer-readable non-transitory memory device of claim 10 , wherein the indication of the battery charging pattern includes an indication of an optimal charging time.

12 . The computer-readable non-transitory memory device of claim 10 , wherein the indication of the battery charging pattern includes an indication of an available battery charger.

13 . A system of greenhouse gas detection and control, the system comprising:

a device detection system configured to identify a device identifier corresponding to each device of a plurality of devices associated with a user by establishing a wireless connection between one or more processors of a server and an onboard computing device of an electric vehicle, and at least one of a home appliance or a power system device, wherein at least one of the device identifiers being an electric vehicle identifier;

a user behavior analyzer configured to:

receive energy consumption-related data from the plurality of devices resulting from energy consumption behavior of the user, and

determine, based on the energy consumption-related data, one or more behavior metrics; and

a reduction integration generator configured to:

identify an energy consumption reduction integration corresponding to the one or more behavior metrics;

cause an indication of the energy consumption reduction integration to be presented at a user interface of a computing device associated with a user;

receive one or more user inputs at the user interface indicating an acceptance of the energy consumption reduction integration;

integrate, at least partly responsive to the one or more user inputs, the energy consumption reduction integration into a user profile associated with the user, to facilitate a reduction of energy consumption for the user,

wherein the reduction integration generator includes a device control system that sends an instruction to the one or more devices of the plurality of devices to cause a device operational parameter modification that affects ta functioning of the one or more devices of the plurality of devices to facilitate a reduction of energy consumption for the user,

wherein the user behavior analyzer receives at least a first portion of the energy consumption-related data as the one or more user inputs at the user interface, and a second portion of the energy consumption-related data directly from the one or more devices, and the system further comprises:

a consumption verification tool which determines an accuracy of the first portion of the energy consumption-related data by comparing the first portion of the energy consumption-related data to the second portion of the energy consumption-related data.

14 . The system of claim 13 , wherein the user behavior analyzer comprises:

a driving behavior assessment tool which calculates, based on the energy consumption-related data, an electric vehicle driving score; or

a home energy consumption tool which calculates, based on the energy consumption-related data, a home device usage score, wherein the electric vehicle driving score or the home device usage score is used by the reduction integration generator to identify the energy consumption reduction integration.

15 . The system of claim 13 , wherein the reduction integration generator comprises:

a policy rule crawler which accesses a plurality of databases of third-party entities to identify rebate or incentive programs related to energy consumption reduction, the energy consumption reduction integration being based on the rebate or incentive programs.