Energy Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 1, 2024
Language: Английский
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
Citations
101
Future Internet, Journal Year: 2023, Volume and Issue: 15(2), P. 83 - 83
Published: Feb. 19, 2023
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. cyberattack is one of the most challenging things to stop. The biggest problem caused by millions sensors constantly sending and receiving data packets over network. Cyberattacks can compromise grid’s dependability, availability, privacy. Users, communication network devices sensors, administrators three layers an innovative vulnerable cyberattacks. In this study, we look at many risks flaws that affect safety critical, components. Then, protect against these dangers, offer security solutions using different methods. We also provide recommendations for reducing chance categories cyberattacks may occur.
Language: Английский
Citations
92
Published: Sept. 29, 2023
The intelligent optimization framework for predicting the vulnerable range of tumor cells using Internet Things (IoT) provides a robust and efficient solution monitoring, assessing, managing cancer treatment. This is based on combination deep learning algorithms, big data analytics, cloud computing, IoT technology. main purpose this to develop an optimal detecting latest advances in image processing, machine natural language processing. collects from various medical or health-related sources such as patient records, imaging results, reports stores them cloud. It filters real-time at micro-levels generate more accurate analysis order make better proactive healthcare decisions. In framework, algorithms are used predictive models that can accurately detect cells. analytics platform analyze collected patterns refined predictions. Finally, computing technology distributed take advantage different sources. By integrating learning, optimizing diagnosis treatment cancer, enabling doctors provide care their patients.
Language: Английский
Citations
55
Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13464 - 13464
Published: Sept. 8, 2023
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into design and construction intelligent, environmentally friendly, long-lasting structures. statement highlights need to shift away current methods seen in 5.0 effectively respond increasing requirement for creative sustainable infrastructures. Modern building techniques have been made more efficient because 6.0’s cutting-edge equipment, digitalization, ecologically concerned methods. The academic community has thoroughly dissected many benefits 5.0. Examples are increased stakeholder involvement, automation, robotics optimization, decision structures based on data, careful resource management. However, difficulties implementing principles laid bare this research. It calls skilled experts who latest technologies, coordinate technical expertise stakeholders, orchestrate interoperable standards, strengthen cybersecurity procedures. study evaluates how well can create smart, long-lasting, sound goal is specify these may revolutionize industry. In addition, research provides an in-depth analysis industry might best adopt 6.0, underscoring sector-wide significance paradigm change. analyzes about big data analytics, IoT, collaborative robotics. To better understand potential pitfalls buildings, examines interaction between organizational dynamics, human actors, robotic systems.
Language: Английский
Citations
48
Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(1), P. 368 - 378
Published: Feb. 28, 2024
The exponential growth of network complexity and data volume in modern digital ecosystems has underscored the need for innovative approaches to optimize performance efficiency. This paper delves into potential AI-driven optimization techniques addressing this imperative. Leveraging artificial intelligence (AI) algorithms such as machine learning deep learning, study investigates how AI can revolutionize management operation achieve higher levels reliability. Through a comprehensive review existing literature case studies, elucidates fundamental principles, methodologies, applications diverse environments. It examines analyze vast amounts data, identify patterns, make data-driven decisions configurations, routing protocols, resource allocation strategies. Moreover, explores enhance security, fault tolerance, scalability by autonomously detecting mitigating threats vulnerabilities. Review succinctly encapsulates main findings insights derived from analysis, emphasizing transformative efficiency enhancement. underscores benefits automating complex tasks, reducing operational overhead, adapting dynamically changing conditions user demands. Additionally, discusses challenges considerations associated with implementation techniques, including algorithmic bias, privacy concerns, ethical implications. In conclusion, critical role evolving operation. advocates continued research development efforts aimed at harnessing full unlock new infrastructures. By embracing approaches, organizations streamline operations, improve experience, drive innovation era.
Language: Английский
Citations
29
Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 407 - 407
Published: Jan. 18, 2025
Advanced deep learning algorithms play a key role in optimizing energy usage smart cities, leveraging massive datasets to increase efficiency and sustainability. These analyze real-time data from sensors IoT devices predict demand, enabling dynamic load balancing reducing waste. Reinforcement models optimize power distribution by historical patterns adapting changes real time. Convolutional neural networks (CNNs) recurrent (RNNs) facilitate detailed analysis of spatial temporal better usage. Generative adversarial (GANs) are used simulate scenarios, supporting strategic planning anomaly detection. Federated ensures privacy-preserving sharing distributed systems, promoting collaboration without compromising security. technologies driving the transformation towards sustainable energy-efficient urban environments, meeting growing demands modern cities. However, there is view that if pace development maintained with large amounts data, computational/energy costs may exceed benefits. The article aims conduct comparative assess potential this group technologies, taking into account efficiency.
Language: Английский
Citations
2
Electronics, Journal Year: 2022, Volume and Issue: 11(23), P. 3960 - 3960
Published: Nov. 29, 2022
With the help of machine learning, many tasks can be automated. The use computers and mobile devices in “intelligent” buildings may make such as controlling indoor climate, monitoring security, performing routine maintenance much easier. Intelligent employ Internet Things to establish connections among components that up structure. As notion (IoT) gains attraction, smart grids are being integrated into larger networks. IoT is an integral part since it enables beneficial services improve experience for everyone inside individuals protected because tried-and-true life support systems. reason installing gadgets structures primary focus this investigation. In context, infrastructure behind their component units highest concern.
Language: Английский
Citations
53
Electronics, Journal Year: 2023, Volume and Issue: 12(24), P. 4925 - 4925
Published: Dec. 7, 2023
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating interconnected and intelligent devices across multifarious domains. proliferation IoT resulted in an unprecedented surge data, presenting formidable challenges concerning efficient processing, meaningful analysis, informed decision making. Deep-learning (DL) methodologies, notably convolutional neural networks (CNNs), recurrent (RNNs), deep-belief (DBNs), have demonstrated significant efficacy mitigating these by furnishing robust tools for learning extraction insights from vast diverse IoT-generated data. This survey article offers comprehensive meticulous examination recent scholarly endeavors encompassing the amalgamation deep-learning techniques within landscape. Our scrutiny encompasses extensive exploration models, expounding on their architectures applications domains, including but not limited to smart cities, healthcare informatics, surveillance applications. We proffer into prospective research trajectories, discerning exigency innovative solutions that surmount extant limitations intricacies deploying methodologies effectively frameworks.
Language: Английский
Citations
29
International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(1), P. 502 - 512
Published: Jan. 26, 2024
The integration of Artificial Intelligence (AI) in groundwater management is a transformative stage, characterized by innovation and challenges. This research paper explores the multilayered application AI this field, dividing its contributions, addressing associated challenges, revealing prospects future potential. AI-driven innovations are designed to revolutionize management, providing precise predictive modeling, real-time monitoring, data integration. However, these face challenges such as interpretability issues, specialized technical expertise requirements, limited quality quantity for effective model performance. In future, holds significant promise management. Advanced models can yield improved predictions behavior, identify vulnerable areas prone pollution depletion, prompt proactive interventions, foster collaborative platforms among scientists, policymakers, local communities. Collaborative driven offer potential synergistic engagement communities, collectively guiding resource Embracing AI's while remains pivotal sustainable resilient practices. By embracing landscape will continue evolve.
Language: Английский
Citations
12
Computers, Journal Year: 2024, Volume and Issue: 13(2), P. 45 - 45
Published: Feb. 3, 2024
Smart home and building systems are popular solutions that support maintaining comfort safety improve energy efficiency in buildings. However, dynamically developing distributed network technologies, particular the Internet of Things (IoT), increasingly entering above-mentioned application areas automation, offering new functional possibilities. The result these processes is emergence many different combine field-level information communications technology (ICT) networks various configurations architectures. New paradigms also emerging, such as edge fog computing, providing for local monitoring control implementation advanced functions algorithms, including machine learning artificial intelligence mechanisms. This paper collects state-of-the-art areas, a systematic review literature case studies with an analysis selected development trends. author systematized this context potential automation systems. Based on conclusions discussion, framework Generic IoT paradigm smart applications has been proposed, along strengths, weaknesses, opportunities, threats (SWOT) its usability. Future works proposed well.
Language: Английский
Citations
11