Methods and systems for HVAC inefficiency prediction

A method for monitoring a plurality of heating, ventilation, and air conditioning (HVAC) systems and predicting inefficient HVAC operation, implemented by one or more processors operatively coupled to a non-transitory computer readable storage device, on which are stored modules of instruction code that when executed cause the one or more processors to perform the following steps:

• during a first period of weather that permits relatively low energy consumption of the HVAC system, obtaining first training data for HVACs in a training set of households;
• during a subsequent period of weather that requires relatively high energy consumption of the HVAC system, obtaining second training data for HVACs in the training set of households;
• generating classification labels of the household locations of the training set according to the second training data;
• applying the first training data and the classification labels to generate an HVAC classification model predictive of inefficiency during periods of weather conditions that require relatively high energy consumption of the HVAC system;
• during a second period of weather that permits relatively low energy consumption of the HVAC system, obtaining operational data pertaining to HVACs in an operational set of households;
• and
• applying the HVAC classification model to predict inefficiency of HVACs, during a second subsequent period of weather that requires relatively high energy consumption of the HVAC system, at individual households in the operational set.