Real-Time Residential Energy Monitoring Device using Internet of Things

Alaudin, Ainul Hizadaleem bin; Zan, Mahfudz Md; Mahmud, Abd Razak; Yahaya, Cik Ku Haroswati Che Ku; Yusof, Mat Ikram; Yussoff, Yusnani Mohd

doi:10.1109/icsengt.2018.8606389

Cited by 8 publications

(2 citation statements)

References 2 publications

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“…The basic operating concept of PC817 is to pass electrical signals through light, allowing the circuit to read the electrical signal and use it as an output. When there is a power supply on the input side, IRED emits IR (Infrared Ray) waves and activates the phototransistor [39].…”

Section: Optocoupler (Pc817)mentioning

confidence: 99%

Low Cost Portable System for Converting Mosul Electrical Substations to Smart One’s

AlKasap¹,

Hagem²

2021

(AREJ)

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Today electricity supplement still has power failures and blackouts due to the lack of automated analysis and the utility's low visibility over the grid. Small and undetected electrical problems can have far-reaching consequences. These failures cause not only high-energy losses, but also costly unscheduled outages, severe injury to employees, and even a fire. Therefore, the monitoring of electrical substations is essential to detect faults and ensure long-term safe operation, safety, protection, and reliability. Internet of things technology provides the possibility of obtaining station data in realtime. In this research, two systems were designed, implemented, and tested in high voltage electric stations. The first part is designed to obtain data on the environmental conditions at the substations, and the important parameters from the transmission lines at the substations in real-time, which help to prevent power outages by relying on engineers who can analyze comprehensively the electrical energy. The system also provides the Automatic Under Frequency Load Shedding ability if the frequency in the stations falls below the normal limit, which contributes to maintain the efficiency and the quality of electrical energy in the substations, and provides protection for the substations. The second part is designed to obtain the values of the parameters that determine the electrical transformers' conditions and monitors the status of the line in terms of switching off and on in real-time at the substations. Thus, these proposed systems are transforming the traditional substations into smart substations. The performance of the system is introduced based on correlation of data and percentage error. The best correlation was for the current data and the least percentage error was for the current. We strongly believed that the proposed system is vesible.

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Section: Optocoupler (Pc817)mentioning

confidence: 99%

Low Cost Portable System for Converting Mosul Electrical Substations to Smart One’s

AlKasap¹,

Hagem²

2021

(AREJ)

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“…The simulated testbed of this smart strategy is not adequate to represent the IoT environment due to its stress on the WSN environment only, while neglecting of other energy-based nodes such as RFID [24]. Alaudin et al proposed only a real-time monitoring system for energy levels in the IoT system [25]. Tcarenko et al demonstrated a hardware design which can adjust the energy consumption rate.…”

Section: Related Workmentioning

confidence: 99%

EMS: An Energy Management Scheme for Green IoT Environments

2020

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The Internet of Things (IoT) has important applications in all aspects of our lives in areas such as business, military, security, and health. It is known that most IoT node designs are energy constrained. Therefore, maintaining an ideal energy consumption rate has become one of the most important challenges in the IoT research field. In this paper, an IoT Energy Management Scheme (EMS) is proposed. In this system, heterogeneous types of energy-constrained nodes are considered. The proposed EMS comprises three strategies. The first strategy minimizes the volume of data that may be transmitted through the IoT environment. The second strategy schedules the work of the critical energy IoT nodes. The third strategy provides a fault tolerance scenario that can be applied to address inevitable energy problems faced by IoT nodes. Finally, to test the proposed EMS, the NS2 network simulator is used to construct an intensive simulation of the IoT environment. The simulation results proved that the proposed EMS outperformed the traditional IoT system with respect to the following performance metrics: energy consumption rate, number of failed nodes due to energy loss, throughput, and network lifetime.

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