Green Home Energy Management System through comparison of energy usage between the same kinds of home appliances

Han, Jinsoo; Choi, Chang‐Hwan; Park, Wan-Ki; Lee, Il-Woo

doi:10.1109/isce.2011.5973168

Cited by 68 publications

(28 citation statements)

References 4 publications

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“…The supply of hydrogen may be a useful outcome as interest in smart grid management increases and intelligent energy management systems develop. For example Han et al present a case of energy management systems in homes [14]. The technology to reduce and manage home energy use is known as home energy management system (HEMS) and it is used to monitor and control home devices in order to reduce the overall energy usage.…”

Section: Hydrogen Utilization (4)mentioning

confidence: 99%

Performance evaluation of gas-power strategies for building energy conservation

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Bondarenko

Bower

et al. 2015

Energy Conversion and Management

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Section: Hydrogen Utilization (4)mentioning

confidence: 99%

Performance evaluation of gas-power strategies for building energy conservation

Runge

Bondarenko

Bower

et al. 2015

Energy Conversion and Management

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“…The HEMS is combined with a smart meter and related technologies for adjusting home power to save energy which can be integrated into a Smart Grid [10][11][12][13]. Jahn et al [14] managed and controlled electric energy information of electrical appliances using Hydra Middleware, that allow users to identify electric appliances and obtain power utilization information directly from home through intelligent mobile phones with image recognition.…”

Section: Appliance Recognition On Hemsmentioning

confidence: 99%

An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

et al. 2011

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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 the appliances. The system will set the characteristics and categories of each electric appliance, and then uses the classifications of the electronic energy features in order to recognize different appliances. The system searches the cluster data while eliminating noise for recognition function-

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“…It can help mitigate power system stress conditions and improve the utilization of generation, transmission and distribution resources. As a result, there have been a lot of interest in developing effective HEM/BEM algorithms [2][3][4][5][6][7][8], as well as hardware infrastructures/ components for complete HEM/BEM solutions [9][10][11][12][13][14][15][16][17]. For communication and control of household loads, most HEM solutions rely either on an existing network of wireless sensors [9] or new design of smart outlets/smart plugs/smart sensors in a system that may use ZigBee [10], power line communication (PLC) [11], ZigBee and PLC [12], infrared (IR) [13], BACnet [14], or cloud-based technologies [15].…”

Section: Introductionmentioning

confidence: 99%

Enabling Residential Demand Response Applications with a ZigBee-Based Load Controller System

et al. 2016

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Home energy management (HEM) systems are getting increasingly popular in both academic and commercial communities. Most HEM solutions rely on either smart appliances or plugging traditional appliances into smart outlet/smart plugs which can communicate with the central HEM server. Conventional non-communicating powerintensive loads that are directly hard-wired to the supply panel of the house in the U.S., e.g., water heaters and clothes dryers, therefore are difficult to be made part of an HEM system. This paper describes the design and implementation of a microcontroller and ZigBee based load controller system that allows these loads to be controlled by an HEM system. The proposed system consists of four load controllers (LCs) that monitor and control four power-intensive household loads, and one communication controller (CC) that acts as a communication medium between LCs and a central HEM unit. The CC and all the LCs are packaged into one load controller box that can be placed beside the main circuit panel of the house and the wirings to the power-intensive loads are routed through the LCs. Within the box, the LCs and the CC communicate via hard-wired serial peripheral interface. The CC then communicates with the HEM system via ZigBee. The proposed system is expected to offer a cost-effective method

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Green Home Energy Management System through comparison of energy usage between the same kinds of home appliances

Cited by 68 publications

References 4 publications

Performance evaluation of gas-power strategies for building energy conservation

Performance evaluation of gas-power strategies for building energy conservation

An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

Enabling Residential Demand Response Applications with a ZigBee-Based Load Controller System

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