Providing energy conservation services becomes a hot research topic because more and more people attach importance to environmental protection. This research proposes a framework that consists of four process models: appliance recognition, activity-appliances model, unattended appliances detection, and energy conservation service. Appliance recognition model can recognizes the operating states ...

electric motors are the largest consumer of world electric energy, consuming more than twice as much as lighting, the next largest consumer. electric motors account for between 43 and 46% of all global electricity consumption approximately. they give rise to about 6 040 mt of co2 emissions. end‐users approximately spend usd 565 billion per year on electricity [1]. in recent years, increase in e...

In present days there are wide varieties of household electric appliances along with different power consumption habits of consumers, making identifying electric appliances without presetting difficulty. This paper introduces smart appliance management system to recognize electric appliances in home networks, which uses sensing devices that measure current to calculate the power consumption of ...

Electric motors are the largest consumer of world electric energy, consuming more than twice as much as lighting, the next largest consumer. Electric motors account for between 43 and 46% of all global electricity consumption approximately. They give rise to about 6 040 Mt of CO2 emissions. End‐users approximately spend USD 565 billion per year on electricity [1]. In recent years...

This paper describes a novel method for the bi-directional transformation between the power consumption patterns of appliances and human living activities. We have been proposing a demand-side energy management system that aims to cut down the peak power consumption and save the electric energy in a household while keeping user’s quality of life based on the plan of electricity use and the dyna...

Electric motors are the largest consumer of world electric energy, consuming more than twice as much as lighting, the next largest consumer. Electric motors account for between 43 and 46% of all global electricity consumption approximately. They give rise to about 6 040 Mt of CO2 emissions. End‐users approximately spend USD 565 billion per year on electricity [1]. In recent years, increase in e...

We are developing a novel home network system based upon the integration of information and energy. The system aims to analyze user behavior with a power-sensing network and provide various lifesupport services to manage power and electric appliances according to user behavior and preferences. This paper describes an electric appliance recognition method using power-sensing data measured by CEC...

Abstract— The problem of identifying end-use electrical appliances from their individual consumption profiles, known as the appliance identification problem, is a primary stage in both NonIntrusive Load Monitoring (NILM) and automated plug-wise metering. Therefore, appliance identification has received dedicated studies with various electric appliance signatures, classification models, and eval...

This paper demonstrates the application of effects function analysis to residential magnetic field exposure, focusing on appliance sources and mitigation choices. Residential field exposure time series were synthesized by using a sample of background household field measurements, a model of average daily appliance use, and a small sample of EMDEX data of field exposure from 12 household strengt...