Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.

Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.

Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.

Abstract: The present invention is generally directed to systems and methods for disaggregating an energy profile for one or more appliances installed in a non-smart meter home. Methods may be implemented by one or more processors, and steps may include: retrieving energy consumption data, and a plurality of attributes of a non-smart meter home, retrieving energy consumption data, appliance-level energy consumption data, and a plurality of attributes of a predefined set of smart meter homes, matching the energy consumption data and the attributes of the non-smart meter home with the predefined set to identify a set of peer homes; estimating the appliance disaggregation of the non-smart meter home based on the retrieved data of the identified peer homes, and forecasting and projecting at least one of electricity bill, mid-cycle consumption, end-of-cycle consumption, disaggregation for non-smart homes, and/or combination thereof.

Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.