On-Board Feature Extraction and Selection from High Frequency Electricity Consumption Data
AssigneeNeurio Technology Inc.
InventorsAli HAGHIGHAT-KASHANI, Zhenyu GUO
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Abstract
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.
Claims20
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;
- selecting feature vectors of interest from the feature vectors;
- and
- transmitting the feature vectors of interest to a server.
A device for monitoring an electricity supply comprising:
- an input module configured to receive raw data from a sensor that senses the electricity supply;
- an extractor module configured to extract features from the raw data by calculating feature vectors;
- a selector module configured to select feature vectors of interest from the feature vectors;
- and
- a communication module configured to transmit the feature vectors of interest to a server.
A system for monitoring an electricity supply comprising:
- a device comprising:
- an input module configured to receive raw data from a sensor that senses the electricity supply;
- an extractor module configured to extract features from the raw data by calculating feature vectors;
- a selector module configured to select feature vectors of interest from the feature vectors;
- and
- a communication module configured to transmit the feature vectors of interest;
- and
- a server comprising:
- a processor configured to receive the feature vectors of interest;
- and
- non-transitory computer readable media configured to store said feature vectors of interest;
- wherein the processor is configured to analyze said feature vectors of interest.
Dependencies are inferred from the claim text.