Real-time identification of residential appliance events based on power monitoring
- 1. College of Information Science and Engineering, Ocean University of China, Qingdao (China)
Description
Energy monitoring for specific home appliances has been regarded as the pre-requisite for reducing residential energy consumption. To enhance the accuracy of identifying operation status of household appliances and to keep pace with the development of smart power grid, this paper puts forward the integration of electric current and power data on the basis of existing algorithm. If average power difference of several adjacent cycles varies from the baseline and goes beyond the pre-assigned threshold value, the event will be flagged. Based on MATLAB platform and domestic appliances simulations, the results of tested data and verified algorithm indicate that the power method has accomplished desired results of appliance identification. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/322/7/072037Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 322
- Journal Issue
- 7
- Journal Page Range
- [6 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Symposium on Application of Materials Science and Energy Materials
- Acronym
- SAMSE 2017
- Dates
- 28-29 Dec 2017
- Place
- Shanghai (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52079332
- Subject category
- S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; ALGORITHMS; APPLIANCES; COMPUTERIZED SIMULATION; ELECTRIC CURRENTS; ENERGY CONSUMPTION; GRIDS; HOUSEHOLDS; MONITORING; OPERATION
- Descriptors DEC
- CURRENTS; ELECTRODES; EQUIPMENT; MATHEMATICAL LOGIC; SIMULATION