Patent ID: 9507890
Filing Date: 2016-11-29
CPC Classification: G06F,G06Q

Claim Text:
1. A system for detecting appliance in a building comprising: a processor; a program module, executed by the processor to perform the steps of: receiving meter data associated with energy consumption, the meter data comprising at least energy consumption data associated with usage of the apliance; receiving customer data associated with the meter data; extracting features for training a computer model to detect the appliance, based on at least the meter data and the customer data; computing empirical features and statistical features from the extracted features, wherein the empirical features include temperature dependent heating consumption, ratio between average consumption during heating required days and during non-heating required days, and the statistical features comprising at least one of discrete Fourier transform coefficients or discrete wavelet transform coefficients; constructing the computer model based on at least the empirical and statistical features; applying the computer model to meter data associated with a candidate customer, to detect whether the candidate customer is using the appliance, wherein the customer data comprising data associated with customers known to use the appliance and data associated with customers unknown to use or not use the appliance, and wherein the computer model is built at least based on the features extracted from the data associated with customers known to use the appliance and the data associated with customers unknown to use or not use the appliance.