On-board feature extraction and selection from high frequency electricity consumption data

摘要

Power consumption related data for the power source supplying an entire household or other group of appliances is captured at a relatively high data rate. The raw data is analyzed to remove redundancy and to identify pertinent features, and then the more informative of these features are then selected. The analysis and selection of features are pre-processing tasks that are performed on-site, on the same piece of hardware that acquires the raw data and transmits the pre-processed data to the server. By transmitting selective data to a remote server, only a low bandwidth is required for the transmission.

主权项

1. A method for monitoring an electricity supply comprising:
receiving raw data from a sensor that senses the electricity supply; extracting features from the raw data by calculating feature vectors, wherein the extracting is performed over successive predetermined time periods and the feature vectors each comprise:
a timestamp identifying the time period during which the feature vector was extracted; anda number indicating a cycle of electricity that was supplied within the identified time period and to which the feature vector relates; selecting feature vectors of interest from the feature vectors; and transmitting the feature vectors of interest to a server.