Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review

Electronics, Journal Year: 2023, Volume and Issue: 12(1), P. 242 - 242

Published: Jan. 3, 2023

With the assistance of machine learning, difficult tasks can be completed entirely on their own. In a smart grid (SG), computers and mobile devices may make it easier to control interior temperature, monitor security, perform routine maintenance. The Internet Things (IoT) is used connect various components buildings. As IoT concept spreads, SGs are being integrated into larger networks. an important part because provides services that improve everyone’s lives. It has been established current life support systems safe effective at sustaining life. primary goal this research determine motivation for device installation in buildings grid. From vantage point, infrastructure supports comprise them critical. remote configuration monitoring security comfort building occupants. Sensors required operate everything from consumer electronics SGs. Network-connected should consume less energy remotely monitorable. authors’ aid development solutions based AI, IoT, Furthermore, authors investigate networking, intelligence, SG. Finally, we examine SG IoT. Several platform subject debate. first section paper discusses most common learning methods forecasting demand. then discuss how works, addition meters, which receiving real-time data. Then, SG, ML integrate using simple architecture with layers organized entities communicate one another via connections.

Language: Английский

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Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

Complex & Intelligent Systems, Journal Year: 2023, Volume and Issue: 10(1), P. 1607 - 1637

Published: July 27, 2023

Abstract This paper explores the concept of smart cities and role Internet Things (IoT) machine learning (ML) in realizing a data-centric environment. Smart leverage technology data to improve quality life for citizens enhance efficiency urban services. IoT have emerged as key technologies enabling city solutions that rely on large-scale collection, analysis, decision-making. presents an overview cities’ various applications discusses challenges associated with implementing environments. The also compares different case studies successful implementations utilizing technologies. findings suggest these potential transform environments enable creation more livable, sustainable, efficient cities. However, significant remain regarding privacy, security, ethical considerations, which must be addressed realize full

Language: Английский

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Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 683 - 683

Published: April 19, 2023

The Internet of Things (IoT) is a well-known technology that has significant impact on many areas, including connections, work, healthcare, and the economy. IoT potential to improve life in variety contexts, from smart cities classrooms, by automating tasks, increasing output, decreasing anxiety. Cyberattacks threats, other hand, have intelligent applications. Many traditional techniques for protecting are now ineffective due new dangers vulnerabilities. To keep their security procedures, systems future will need AI-efficient machine learning deep learning. capabilities artificial intelligence, particularly solutions, must be used if next-generation system continuously changing up-to-date system. intelligence examined this paper every angle available. An innovative method devices against cyberattacks use gain information raw data. Finally, we discuss relevant research issues next steps considering our findings. This article examines how can detect attack patterns unstructured data safeguard devices. We challenges researchers face, as well directions area, these Anyone with an interest or cybersecurity website’s content technical resource reference.

Language: Английский

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Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

IoT, Journal Year: 2024, Volume and Issue: 5(1), P. 79 - 99

Published: Feb. 1, 2024

With the rapid rise of digitalization in global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, Internet Things (IoT), smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, automation. This study aims to develop assess IoT-based utilizing passive infrared (PIR) sensors improve user interface, automation controls using voice commands buttons across different communication protocols. proposed system incorporates lighting intrusion monitoring, as well assessing both functionality precision intruder detection via PIR sensors. Intelligent light control with a variable delay time response are unified into research methodology. test outcomes examine average effective in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) fourth- fifth-generation mobile connections. illustrate reliability voice-activated Google Assistant, accuracy rates 83 percent Thai 91.50 English commands. Moreover, Blynk application provided exceptional regarding operating light-button motion detectors one hundred accuracy, 2.5 s is advised detection. Extended delays result prolonged times. examines intricacies times various environmental conditions, considering degrees quality. ultimately advances field by developing an IoT prepared efficient integration everyday life, holding potential provide improved time-saving effectiveness, cost-efficiency, enhanced

Language: Английский

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Implementation of real-time optimal load scheduling for IoT-based intelligent smart energy management system using new decisive algorithm

Journal of Electrical Systems and Information Technology, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 14, 2025

Abstract This paper presents the implementation of a real-time optimal load scheduling system for an IoT-based intelligent smart energy management (SEMS) using novel decisive algorithm. The increasing use electrical equipment by consumers often leads to mismatch between demand and supply, posing significant challenges sector. proposed addresses these optimizing distribution enhancing efficiency through advanced demand-side techniques. By leveraging data from IoT sensors incorporating user preferences, new algorithm dynamically adjusts power consumption avoid peak-hour overloads, thus preventing widespread outages. Experimental results demonstrate that effectively reduces overall while maintaining comfort costs. innovative approach controlled partial shedding based on consumer priorities ensures balanced resilient supply. study highlights potential algorithms in transforming practices providing sustainable solutions future.

Language: Английский

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A Study of 5G and Edge Computing Integration with IoT- A Review

2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Journal Year: 2023, Volume and Issue: unknown, P. 705 - 710

Published: April 28, 2023

5G and Edge Computing might sound to very different technology but they aim solve the same problem. In sense end goal of both is that provide user with reducing latency quick response from their respective devices. on one hand promises deliver improved speed by increasing it 10 times existing (4g). Whereas edge computing aims reduce providing computation capabilities devices itself while also bandwidth in process. Instead making obsolete will improve upon this research paper features discussed. Talking advantage technologies' simultaneously integrating another boost effect make up for shortcomings.

Language: Английский

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A comprehensive review of artificial intelligence and machine learning applications in energy consumption and production

Journal of Technology Innovations and Energy, Journal Year: 2023, Volume and Issue: 2(4), P. 1 - 26

Published: Oct. 19, 2023

The energy industry worldwide is today confronted with several challenges, including heightened levels of consumption and inefficiency, volatile patterns in demand supply, a dearth crucial data necessary for effective management. Developing countries face significant challenges due to the widespread occurrence unauthorized connections electricity grid, resulting substantial amounts unmeasured unpaid consumption. Nevertheless, implementation artificial intelligence (AI) machine learning (ML) technologies has potential improve management, efficiency, sustainability. Therefore, this study aims evaluate influence AI ML on progress industry. present employed systematic literature review methodology examine arising from frequent power outages limited accessibility various developing nations. results indicate that possess domains, predictive maintenance turbines, optimization consumption, management grids, prediction prices, assessment efficiency residential buildings. This concluded discussion measures enable nations harness advantages sector.

Language: Английский

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A literature review on an IoT-based intelligent smart energy management systems for PV power generation

Hybrid Advances, Journal Year: 2023, Volume and Issue: 5, P. 100136 - 100136

Published: Dec. 29, 2023

Renewable energy is the most dependable and universally acknowledged way of meeting world's expanding needs. In order to optimize solar generation, particular focus must be paid both application maintenance. IoT-based monitoring system proposals have been made in collect analyze data, which will allow for performance prediction reliable power output. Demand-side management's primary objective maximize economical utilization renewable resources without sacrificing overall efficiency. areas where use strongly reliant on grid, an intelligent management may effectively regulate usage. With cloud computing, opportunities problems driven out by growing grids successfully handled. This study examines role that systems play research practical industrial practises, acknowledging as stakeholders this undertaking. The investigation closely looks at a number IoT-related topics relation production. addition providing guidance upcoming academics field, it also lists possible future uses IoT, inspiring them further field's present understanding provide new ideas. Providing thorough analysis smart architecture purpose.

Language: Английский

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Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools

Journal of Cloud Computing Advances Systems and Applications, Journal Year: 2024, Volume and Issue: 13(1)

Published: May 2, 2024

Abstract Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall experience. The 5G networks, along with Mobile Edge Computing (MEC), can greatly transform applications, which in turn improves patient care. MEC plays an role by bringing computing resources edge network. It becomes part IoT system within brings data closer core, speeds up decision-making, lowers latency, quality While usage networks is beneficial for purposes, there some issues difficulties should be solved efficient introduction this technological pair into healthcare. One critical blockchain technology help overcome challenge faced realizing most potential involving medical devices. This article presents comprehensive literature review on IoT-based devices, provide real-time solutions patients, discusses major contributions made industry. paper also limitations have devices area, especially field decentralized solutions. For reason, readership intended not only researchers but graduate students.

Language: Английский

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Security risk models against attacks in smart grid using big data and artificial intelligence

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e1840 - e1840

Published: April 26, 2024

The need to update the electrical infrastructure led directly idea of smart grids (SG). Modern security technologies are almost perfect for detecting and preventing numerous attacks on grid. They unable meet challenging cyber standards, nevertheless. We many methods techniques effectively defend against threats. Therefore, a more flexible approach is required assess data sets identify hidden risks. This possible vast amounts due recent developments in artificial intelligence, machine learning, deep learning. Due adaptable base behavior models, learning can recognize new unexpected attacks. Security will be significantly improved by combining previously released with predictive analytics. Artificial Intelligence (AI) big used learn about current situation potential solutions cybersecurity issues grids. article focuses different types Furthermore, it also challenges AI It using other applications like healthcare. Finally, solution grid intelligence discussed. In end, some future directions discussed this article. Researchers graduate students audience our

Language: Английский

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