Systems and methods for utilizing data from electricity monitoring devices for analytics modeling

A risk correlation engine, comprising:

• a memory unit configured to store instructions for evaluating usage of one or more individual electric or electronic devices powered via an electrical system of a home;
• a processor communicatively coupled to the memory unit, the processor configured to execute the instructions stored in the memory to cause the processor to:
• receive a dataset indicative of the one or more individual electric or electronic devices' electricity consumption from a Electricity Monitoring (EM) device configured to wirelessly detect unique electric signatures of the one or more individual electric or electronic devices via wireless communication or data transmission over one or more radio links or communication channels;
• generate one or more claim risk profiles, each including a risk defined by a computing device independent of the EM device, wherein the risk corresponds to historical electricity consumption information;
• generate a correlation rule specifying one or more parameters that indicate which portion of the dataset when compared to the one or more of the claim risk profiles exceed a minimum level of the risk;
• detect whether the dataset contains risk that meets or exceeds the minimum level of the risk in accordance with the one or more parameters specified by the correlation rule;
• and
• when the dataset contains risk that meets or exceeds the minimum level of the risk, dynamically update a user profile with a service recommendation for adjusting the electricity consumption for the one or more individual electric or electronic devices.

A non-transitory, tangible computer-readable medium storing machine readable instructions that, when executed by a processor, cause the processor to:

• receive a dataset indicative of the one or more individual electric or electronic devices' electricity consumption from a Electricity Monitoring (EM) device configured to wirelessly detect unique electric signatures of the one or more individual electric or electronic devices via wireless communication or data transmission over one or more radio links or communication channels;
• generate one or more claim risk profiles, each including a risk defined by a computing device independent of the EM device, wherein the risk corresponds to historical electricity consumption information;
• generate a correlation rule specifying one or more parameters that indicate which portion of the dataset when compared to the one or more of the claim risk profiles exceed a minimum level of the risk;
• detect whether the dataset contains risk that meets or exceeds the minimum level of the risk in accordance with the one or more parameters specified by the correlation rule;
• and
• when the dataset contains risk that meets or exceeds the minimum level of the risk. dynamically update a user profile with a service recommendation for adjusting the electricity consumption for the one or more individual electric or electronic devices.