Disaggregation and demand side management response using advanced metering infrastructure data

A method providing real-time or near real-time insights or appliance identification and disaggregation, using an advanced metering infrastructure (AMI) meter receiving energy usage data of a house, and being in communication with a cloud-based processor, the method comprising:

• receiving at a cloud-based processor data from the AMI meter, the data comprising:
• information sufficient to identify the AMI meter type or model and one or more operating parameters;
• first energy usage data associated with the house;
• the cloud-based processor disaggregating at least some of the energy usage data associated with the house, and based at least in part on the AMI meter, determining a home specific model (HSM);
• deploying the HSM on the AMI meter;
• receiving real-time or near real-time energy usage data associated with the house at the AMI meter and applying the HSM to analyze or disaggregate the energy usage data in real-time or near real-time;
• iteratively learning and modifying the HSM based on information received or disaggregated by the AMI meter;
• receiving at the cloud-based processor information from the AMI meter indicating that the current HSM is not applicable to or capable of disaggregating second energy usage data;
• analyzing or disaggregating second energy usage data by the cloud-based processor;
• determining modifications or improvements to the HSM;
• deploying modifications or improvements to the HSM to the AMI meter;
• providing a user device or a utility with real-time or near real-time insights into energy usage of the house.