Fog Computing Based Energy Management System Model for Smart Buildings

Zahoor, Saman; Javaid, Nadeem; Khalid, Adia; Yasmeen, Anila; Nadeem, Zunaira

doi:10.1007/978-3-319-93554-6_70

Cited by 3 publications

(7 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Smart grids are designed to save energy through information communication technology, where it is possible to obtain a fully-observable power distribution network, where both the utility and consumer interact with each other for information sharing [4]. Yet, to achieve these properties, it is necessary to perform consumption control and power generation [19].…”

Section: Smart Grids and Fog Computingmentioning

confidence: 99%

“…Cloud and Fog computing can help this communication if used within an architecture that allows orchestration between robust Cloud processing and the speed of the Fog computing situated at the edge of the network [4].…”

Section: Smart Grids and Fog Computingmentioning

confidence: 99%

“…Thus, these services must have algorithms that generate information about which equipment can be turned on or off during peak hours. To achieve these goals, this type of decision must be made with the help of demand-side response techniques, where several authors have studied how integer linear programming, genetics algorithms, and various optimization algorithms can help reduce peak hours and increase consumer comfort [1,3,4,5,6,7,8,9,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

“…The idea is to take advantage of the concept of distributed generation that comes with using small renewable energy producers and to allow a Microgrid to operate either connected to the national centralized power grid or in power island mode. Therefore, Fog computing can obtain data on the amount of energy produced and consumed in real time to perform processing tasks and reduce the need for Cloud operators and still process information with high bandwidth and low latency, and with the help of the Cloud, it is possible to make decisions that reduce the energy bill and the amount of pollutants [4].…”

Section: Introductionmentioning

confidence: 99%

“…Authors such as Shahryari [6] and Zahoor [4] have already proposed the use of the Fog to assist the energy management of homes and industries. Jamil [5], Wang [7], and Muralitharan [8] carried out studies on the use of optimization algorithms to move appliances away from peak hours.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

Barros

Filho

Batista

et al. 2019

Sensors

View full text Add to dashboard Cite

Energy advancement and innovation have generated several challenges for large modernized cities, such as the increase in energy demand, causing the appearance of the small power grid with a local source of supply, called the Microgrid. A Microgrid operates either connected to the national centralized power grid or singly, as a power island mode. Microgrids address these challenges using sensing technologies and Fog-Cloudcomputing infrastructures for building smart electrical grids. A smart Microgrid can be used to minimize the power demand problem, but this solution needs to be implemented correctly so as not to increase the amount of data being generated. Thus, this paper proposes the use of Fog computing to help control power demand and manage power production by eliminating the high volume of data being passed to the Cloud and decreasing the requests’ response time. The GridLab-d simulator was used to create a Microgrid, where it is possible to exchange information between consumers and generators. Thus, to understand the potential of the Fog in this scenario, a performance evaluation is performed to verify how factors such as residence number, optimization algorithms, appliance shifting, and energy sources may influence the response time and resource usage.

show abstract

Section: Smart Grids and Fog Computingmentioning

confidence: 99%

Section: Smart Grids and Fog Computingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

Barros

Filho

Batista

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

An Edge-Fog-Cloud computing architecture for IoT and smart metering data

Oprea

Bârã

2023

Peer-to-Peer Netw. Appl.

View full text Add to dashboard Cite

Energesis: Fog Smart Meter para Hospedagem Compartilhada

Pereira¹,

Peixoto²,

Jesus³

et al. 2019

Workshop De Computação Urbana (CoUrb)

View full text Add to dashboard Cite

Alguns proprietários de imóveis hospedam viajantes em suas próprias residências, compartilhando apenas parte do imóvel por um curto período. Junto com essa prática, existe a necessidade de um recurso que permita mensurar o consumo de energia quando o imóvel está sendo compartilhado. Dessa forma, o hóspede pagará apenas a energia consumida por ele. A dificuldade de entregar esse relatório de consumo é porque as casas possuem apenas um sistema geral de medição. Dessa forma, este artigo mostra o desenvolvimento de um sistema para monitoramento do consumo de energia elétrica para a hospedagem compartilhada. O sistema foi desenvolvido sob a arquitetura IoT (Internet of Things) utilizando a Fog e Cloud Computing. O Sistema é composto por um Smart Meter, e uma aplicação Web. Além da construção da arquitetura de medição inteligente, foi realizada a avaliação de desempenho com o objetivo de mostrar a capacidade do sistema de medir consumo de energia elétrica e ser usado como um recurso para proprietários em hospedagem compartilhada.

show abstract

Fog Computing Based Energy Management System Model for Smart Buildings

Cited by 3 publications

References 14 publications

Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

An Edge-Fog-Cloud computing architecture for IoT and smart metering data

Energesis: Fog Smart Meter para Hospedagem Compartilhada

Contact Info

Product

Resources

About