IoT Enabled Real-time Energy Monitoring and Control System

Hussain, Syed Zain Rahat; Osman, Asad; Moin, Minhaj Ahmed; Memon, Junaid Ahmed

doi:10.1109/icsmartgrid52357.2021.9551208

Cited by 9 publications

(6 citation statements)

References 10 publications

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“…The comprehensive literature analysis for assessing various IDS frameworks [29,30] used to improve the security of smart grid networks is presented in this section. Additionally, it covers each model's benefits and drawbacks regarding how it functions and works.…”

Section: Literature Reviewmentioning

confidence: 99%

A Proficient ZESO-DRKFC Model for Smart Grid SCADA Security

Rabie

Balachandran²,

Shitharth

2022

Electronics

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Smart grids are complex cyber-physical systems that incorporate smart devices’ communication capabilities into the grid to enable remote management and the control of power systems. However, this integration reveals numerous SCADA system flaws, which could compromise security goals and pose severe cyber threats to the smart grid. In conventional works, various attack detection methodologies are developed to strengthen the security of smart grid SCADA systems. However, they have several issues with complexity, slow training speed, time consumption, and inaccurate prediction outcomes. The purpose of this work is to develop a novel security framework for protecting smart grid SCADA systems against harmful network vulnerabilities or intrusions. Therefore, the proposed work is motivated to develop an intelligent meta-heuristic-based Artificial Intelligence (AI) mechanism for securing IoT-SCADA systems. The proposed framework includes the stages of dataset normalization, Zaire Ebola Search Optimization (ZESO), and Deep Random Kernel Forest Classification (DRKFC). First, the original benchmarking datasets are normalized based on content characterization and category transformation during preprocessing. After that, the ZESO algorithm is deployed to select the most relevant features for increasing the training speed and accuracy of attack detection. Moreover, the DRKFC technique accurately categorizes the normal and attacking data flows based on the optimized feature set. During the evaluation, the performance of the proposed ZESO-DRKFC method is validated and compared in terms of accuracy, detection rate, f1-score, and false acceptance rate. According to the results, it is observed that the ZESO-DRKFC mechanism outperforms other techniques with high accuracy (99%) by precisely spotting intrusions in the smart grid systems.

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Section: Literature Reviewmentioning

confidence: 99%

A Proficient ZESO-DRKFC Model for Smart Grid SCADA Security

Rabie

Balachandran²,

Shitharth

2022

Electronics

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“…Arduino microcontrollers have three leading product families: Nano, MKR, and Classic. Arduino Uno is used in projects [16]- [19], [23], [27], [31], [33]- [35], and Arduino Mega used in projects [25] and [26] are microcontrollers of the classic family and belong to the group of technical solutions i) which means that communication modules are not integrated. Despite using the same solution i) as above, the article [32] uses a Raspberry Pi microcontroller while the article [36] uses the ARM7 microcontroller, which is a product of Arm Holdings Ltd. ESP8266, developed by Express if Systems, is a microcontroller with an integrated WiFi module and is widely used in IoT projects [37].…”

Section: IImentioning

confidence: 99%

Review of Cloud-Based Smart Energy Meters

Kamble

2024

IJRASET

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Smart meters represent a pivotal advancement inenergy management, offering numerous benefits to consumers and utility providers. This report provides an overview of smart meters, their functionalities, advantages, challenges, and broader implications for the energy industry. A smart meter is an advanced device that accurately measures electricity consumption. It's better than traditional meters, providing efficient tracking and insights into energy usage habits. Upgrade to a smart meter to make informed decisions and save money on electricity bills. These devices are a vital component of smart grid technology, which aims to enhance energy distribution and consumption efficiency, reliability, and sustainability. Modern technologies, such as the Internet of Things (IoT), have many applications in the energy sector. IoT can help to improve energy efficiency, increase the utilization of renewable energy sources, and reduce the environmental impact of energy use. It can achieve these goals in energy supply, transmission, distribution, and demand. This paper reviews the literature on IoT in energy metering systems and its essential components, functionality, and advantages over conventional metering systems.

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“…Arduino microcontrollers have 3 main product families: Nano, MKR and Classic. Arduino Uno is used in projects [12]- [15], [19], [23], [27], [29]- [31] and Arduino Mega used in projects [21] and [22] are microcontrollers of the classic family and belong to the group of technical solutions i) which means that communication modules are not integrated into. Despite using the same solution i) as above, the article [28] uses a Raspberry Pi microcontroller while the article [32] uses the ARM7 microcontroller which is a product of Arm Holdings Ltd. ESP8266, developed by Espressif Systems, is a microcontroller with an integrated WiFi module and is widely used in IoT projects [33].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding communication technology, there are different communication methods such as WiFi, LoRaWAN, Zigbee, and GSM [35]. As mentioned in the literature review, most smart metering systems use WiFi communication networks, [12]- [18], [20], [22]- [27], [29] while only few systems use LoraWan [19], [28], Zigbee [21], [32], or GSM [30], [31]. Communication over WiFi is realized in short range and suitable for household applications while the remaining methods are suitable for projects that need longer signal transmission distances.…”

Section: Introductionmentioning

confidence: 99%

Design and fabrication of an IoT-based smart electrical meter for residential energy management

Nguyen

2023

IJEECS

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<p>Transparency in electricity measurement and efficient use of electricity are issues of concern to households. Electricity customers want to have confidence in their utility company's electricity meters installed at their houses. This study designs and constructs an internet of things (IoT)-based smart electric meter to measure electricity and remotely control domestic appliances. This device can monitor, calculate electricity bills and remotely control the appliances via the internet; electrical quantities are displayed in real-time on the Blynk app, liquid crystal display (LCD) screen and Google Sheet. The device is also capable of emailing the electricity user. The proposed system is designed and developed based on ESP32, a LCD, a PZEM 004T, four relays and a DC source. The results show that the device works stably and the device’s error is less than 5%. This research makes it possible for users to conveniently monitor their power consumption while enhancing their energy-saving awareness.</p>

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IoT Enabled Real-time Energy Monitoring and Control System

Cited by 9 publications

References 10 publications

A Proficient ZESO-DRKFC Model for Smart Grid SCADA Security

A Proficient ZESO-DRKFC Model for Smart Grid SCADA Security

Review of Cloud-Based Smart Energy Meters

Design and fabrication of an IoT-based smart electrical meter for residential energy management

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