Published March 1, 2018 | Version v1
Journal article

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/322/7/072037

Additional details

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