Consumer energy portal and home energy management system for smart grid applications

Cheah, P. H.; Zhang, R.; Gooi, Hoay Beng; Yu, Hao; Foo, Manda

doi:10.1109/asscc.2012.6523302

Cited by 28 publications

(16 citation statements)

References 3 publications

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“…Some of these are using state of art wireless sensors for the EMS [30,52,54,57,61]. All these solutions are working well for a building and small houses.…”

Section: Reference Country Institutementioning

confidence: 98%

“…Researchers are also working on controlling and managing electricity remotely [20,24,47,54] with hardware support, but all these contributions have one main problem that there is no involvement of a user. A customer cannot customize anything according to his/her needs.…”

Section: Rq4 What Are the Limitations Of Current Research?mentioning

confidence: 99%

“…Papers [30,46,52,54,57,61] represent the energy management systems with wireless sensors to manage the electricity. [30,46] used the wireless sensors to gather and manage the data.…”

Section: Rq2 What Are the Current Electricity Management Systems?mentioning

confidence: 99%

See 2 more Smart Citations

A systematic literature review on electricity management systems

Rasool

Ehsan

Shahbaz

2015

Renewable and Sustainable Energy Reviews

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“…Some of these are using state of art wireless sensors for the EMS [30,52,54,57,61]. All these solutions are working well for a building and small houses.…”

Section: Reference Country Institutementioning

confidence: 98%

Section: Rq4 What Are the Limitations Of Current Research?mentioning

confidence: 99%

See 1 more Smart Citation

A systematic literature review on electricity management systems

Rasool

Ehsan

Shahbaz

2015

Renewable and Sustainable Energy Reviews

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“…Cuando se busca realizar un hogar inteligente, el principal reto que se tiene es la realización de una red de área de hogar conocidas como HAN, que permite interconectar diferentes dispositivos o equipos e implementar sistemas de gestión de energía [30]. Estos sistemas que gestionan la energía en los hogares tienen varias ventajas; la más importante es que permite la supervisión y el gestionamiento de la energía de los diferentes dispositivos por parte de los usuarios domésticos [31]. Esta es una parte fundamental del gestionamiento de la energía porque el usuario o consumidor puede administrar la energía consumida mediante el tiempo de uso, utilizando medidores inteligentes, con lo cual se reducen pérdidas de energía y se optimiza el rendimiento de los dispositivos o equipos [28].…”

Section: A Infraestructura De Medición Avanzada En Hogares Inteligentesunclassified

Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes

2016

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Resumen− Este artículo se desarrolla con base en redes de sensores sobre Smart Grids, en conjunto con una metodología de gestión apropiada que nos permita analizar y comprobar mediante una simulación el comportamiento de estas redes inalámbricas de una manera interna, dentro de una vivienda u hogar inteligente, teniendo en cuenta varios parámetros o restricciones como son la distancia de cobertura, la capacidad y el porcentaje de cobertura. Para ello se describe la infraestructura de redes inteligentes y se plantea un modelo matemático para minimizar la distancia de los sensores a los puntos de acceso dentro del área considerada. Además está enfocado en el diseño de estas redes inteligentes, donde se realiza una optimización de los diferentes puntos factibles, con lo que se logra una máxima cobertura de los sensores para implementar un adecuado sistema de gestión de energía en hogares inteligentes, basado en un servicio fiable de la conectividad de la red.Palabras clave− Redes de Sensores Inalámbricos, Hogares Inteligentes, Cobertura, Infraestructura de Medición Avanzada, Interior, Optimización.Abstract− This article was developed based on sensor networks for Smart Grids, together with appropriate management methodology which it allows us to analyze and check by a simulation the behavior of these wireless networks in an internal way, inside of a dwelling or smart home, knowing that we use different parameters or restrictions like the coverage distance, the capacity and the percentage of coverage. For this we described the intelligent network infrastructure and we propose a mathematical model to minimize the distance from the sensors to the access points inside the considered area. Additionally, this paper is focused on the design of these smart grids. An optimization of the different feasible points is presented, obtaining a maximum coverage of the sensors, in order to implement an appropriate energy management system in smart homes, based on reliable service network connectivity.

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“…Fitted with smart meters, electricity usage of 323 staff house units at Nanyang Technological University (NTU), Singapore has been monitored and recorded, using a web-based Customer Energy Portal (CEP), every 30 min since June 2012 until now [25]- [27]. Fig.…”

Section: A Real-time Energy Portal At Ntu Singaporementioning

confidence: 99%

Modeling and validation of electrical load profiling in residential buildings in Singapore

Chuan

Ukil

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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Abstract-The demand of electricity keeps increasing in this modern society and the behavior of customers vary greatly from time to time, city to city, type to type, etc. Generally, buildings are classified into residential, commercial and industrial. This study is aimed to distinguish the types of residential buildings in Singapore and establish a mathematical model to represent and model the load profile of each type. Modeling household energy consumption is the first step in exploring the possible demand response and load reduction opportunities under the smart grid initiative. Residential electricity load profiling includes the details on the electrical appliances, its energy requirement, and consumption pattern. The model is generated with a bottom-up load model. Simulation is performed for daily load profiles of 1 or 2 rooms, 3 rooms, 4 rooms and 5 rooms public housing. The simulated load profile is successfully validated against the measured electricity consumption data, using a web-based Customer Energy Portal (CEP) at the campus housings of Nanyang Technological University, Singapore.Index Terms-AMI, building energy, demand side management, DSM, energy efficiency, energy portal, load modeling, load profile, low voltage, LV, smart grid, smart meter.

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Consumer energy portal and home energy management system for smart grid applications

Cited by 28 publications

References 3 publications

A systematic literature review on electricity management systems

A systematic literature review on electricity management systems

Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes

Modeling and validation of electrical load profiling in residential buildings in Singapore

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