Sub-hourly load disaggregation of home appliances using electric smart meter reads processed inside smart meters

A system for determining probable presence, in a surveyed household, of appliances having no load sensors, said system implemented by one or more processing devices operatively coupled to a non-transitory storage device, on which are stored modules comprising:

• a data API configured to acquire at an edge device located at the house hold, the load data of the household;
• Indicators generation module configured for real-time compression of load measurements and calculating indicators which represent the measured load data, wherein the indicators provide partial representation of the measured data, wherein the partial representation include data pattern or specific type of measurement or schedule of measurement which is associated with the presence of specific type of appliances;
• a communication module Transmitting the calculated indicator and compressed data from edge device to cloud server;
• Appliance detection algorithm at the cloud server configured to apply learning algorithm, only on the calculated indicators for identifying presence of appliance, wherein the learning algorithm is based on:
• Pre-processing per household of historical appliance consumption, based on actual measurement performed by sensors associated with said appliances in relation to profile of household including characteristics of the house and/or demographic characteristics of the occupants and environmental time dependent parameters;
• Train machine learning algorithm for detecting appliance presence at each household based on at least one of:
• 1) household profile parameters, 2) household actual calculated indicators of consumption provided by the household device 3) household compressed actual consumption usage in relation to environmental time dependent parameters.