IoT based energy management for residential area

Aburukba, Raafat; Al-Ali, A. R.; Landolsi, Taha; Rashid, Mohammed; Hassan, Rizwan

doi:10.1109/icce-tw.2016.7521035

Cited by 15 publications

(8 citation statements)

References 6 publications

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“…Hence, according to IEEE and International Electro-technical Commission (IEC) standards, industries must devote a greater attention to keeping harmonics and Power Factor (PF) within permissible limits [5,6]. Furthermore, (IoT) could have significant contribution on energy management, hence several (IoT) applications to reduce the energy consumption have been developed [7,8].…”

Section: This Paper Is An Extension Of Work Originally Presented In 15thmentioning

confidence: 99%

On Design of IoT-based Power Quality Oriented Grids for Industrial Sector

Gomaa¹,

Youssef²,

Abouelatta³

2020

Adv. sci. technol. eng. syst. j.

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Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of the power grids using smart meters connected to SCADA systems. In this paper, a novel technique is proposed that is based on energy-aware manufacturing process control model using internet of things technology. The model is applied on cabling industry use case in addition to implementation of a MATLAB model for this purpose whereas the IoT physical layer is collecting , analyzing and communicating the electric power parameters correlated with the manufacturing process parameters received from PLC IoT nodes. Accordingly, the effective power quality is enhanced using manufacturing process control rather than additional correction nodes in traditional techniques. On applying the model on cabling use case, the Total Harmonic Distortion (THD-current) is improved 10 times to be 3.1% against 31.4% and the power factor is improved by 33% from 0.7 to 0.93 without additional correction nodes.

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Section: This Paper Is An Extension Of Work Originally Presented In 15thmentioning

confidence: 99%

On Design of IoT-based Power Quality Oriented Grids for Industrial Sector

Gomaa¹,

Youssef²,

Abouelatta³

2020

Adv. sci. technol. eng. syst. j.

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“…This system uses off‐the‐self business intelligence and big data analytics to process and analyze data collected from home devices and manage energy consumption and meet consumer demand. Aburukba et al presented a conceptual model that allows users to define rules and objectives concerning energy use planning. In this way, when a house exceeds the energy consumption limit per day, the system notifies user and provide recommendations on home appliances usage.…”

Section: Related Workmentioning

confidence: 99%

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

Paredes-Valverde

Alor-Hernández

Alcaráz³

et al. 2019

Computational Intelligence

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Despite there has been an increasing energy price due to factors such as supply, demand, government regulation, among others, users do not like to spend their time to analyze their power consumption and establish actions to save money. Hence, there is a need for smart solutions that help users to save energy at home in an easy way. The smart home concept is attracting the attention of both academia and industry to address this need. Nowadays, high volumes of data are available in the smart home context, facilitated by the growth of internet of things (IoT)‐based devices and advanced sensing infrastructure. Therefore, it is necessary to automatically extract useful knowledge from this information to cost‐effective use of energy at home. In this sense, this work presents IntelliHome, a smart‐home system that aims to reduce electrical energy consumption at home. To this end, IntelliHome uses big data analytics technologies and Machine Learning and statistical techniques to provide users with a meaningful perspective of their electricity consumption habits aiming to actively involve them in the energy‐saving process through real‐time information and energy‐saving recommendations. This work also discusses a case study and an evaluation aligned with the objectives of this work. The obtained results verify the effectiveness of the proposed system regarding electrical energy saving.

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“…These logical values reflect the states of the control elements of the system. For example, the status of a power switch can be estimated by the logical values of these sensors [26]. The protection relays that are currently manufactured are mainly IEDs.…”

Section: Supervisory Systemmentioning

confidence: 99%

Effectiveness and Comparison of Digital Substations Over Conventional Substations

Waleed¹,

Virk²,

Riaz³

et al. 2019

Adv. sci. technol. eng. syst. j.

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The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the transport infrastructure of the electrical power system and mode of operation. Technological advancements are making a smarter and more organized management system of electricity supply and demand. This development needs to incorporate modern communication, monitoring, and control capabilities, along with the intelligent transport, generation, and storage value chain. Digital substations integrate thousands of sensors by providing greater comfort, self-reliance, availability, and safety while at the same time reducing costs, risks, and environmental damage. Conventional power system lacks digital communication, remote monitoring & control, and consumer participation. Fiber-optic cabling in digital substations will attain not only real-time data transmission but also remote maintenance. The comparison between conventional and digital substations has also been presented in this work along with latest trends in smart protection. Electronic protection and control devices based on a microprocessor, communicating with cloud servers, will enhance the flexibility to control and monitor the digital substations. A significant amount of data generated by components in the electrical substations will allow greater sophistication of the monitoring, diagnostic, protection and optimization capabilities of the facilities. The goal for the review of said advancements is to have a smart electrical system with greater efficiency and better user experience.

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IoT based energy management for residential area

Cited by 15 publications

References 6 publications

On Design of IoT-based Power Quality Oriented Grids for Industrial Sector

On Design of IoT-based Power Quality Oriented Grids for Industrial Sector

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

Effectiveness and Comparison of Digital Substations Over Conventional Substations

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