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Journal articles on the topic 'Multi-agent protection system'

Author: Grafiati

Published: 10 January 2023

Last updated: 31 July 2025

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1

Rui, Qian, and Su Qin Qian. "Relay Protection Based on Multi-Agent System." Advanced Materials Research 760-762 (September 2013): 355–58. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.355.

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For the reliable operation of the power grid, multi-agent system is applied to multi-level relay protection to improve the fast response of the short-circuit protection. The thesis conducts the simulation concerning the conventional backup protection and the protection mode based on multi-agent system and makes performance comparison. The results prove that multi-agent system can shorten the response time effectively.

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Khavina, I. P., Yu V. Hnusov, and O. O. Mozhaiev. "Development of multi-agent information security management system." Law and Safety 87, no. 4 (2022): 171–83. http://dx.doi.org/10.32631/pb.2022.4.14.

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The issue of creating an information security system is very relevant in the world today. One of the urgent tasks is to solve the issues of effective protection of information from both external and internal threats through the creation and implementation of information security management systems in automated systems of enterprises, which, among other things, requires the formalization of the task of protecting information for its subsequent implementation by software and other means. Now there are security analysis systems, for example, that examine the security elements settings of workstat

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Kuandykov, Abu, Raissa Uskenbayeva, Young Im Cho, et al. "Multi-Agent Based Anti-Locust Territory Protection System." Procedia Computer Science 56 (2015): 477–83. http://dx.doi.org/10.1016/j.procs.2015.07.238.

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Fan, Xiao Zhou. "Power System Based on Multi-Agent Technology." Applied Mechanics and Materials 273 (January 2013): 276–79. http://dx.doi.org/10.4028/www.scientific.net/amm.273.276.

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Multi-agent technology combines the technology of computer, networking and distributed artificial intelligence together which is good at solving complex problems about large-scale distributed and open system. Multi-agent technology provides new ways for power system studies. This paper aims at finding a way to rationally use the multi-agent technology to solve complex problems due to improper protection or slow even wrong actions in the large power system.

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Ananda, Stephanus, Jyh-Cherng Gu, Ming-Ta Yang, et al. "Multi-Agent System Fault Protection with Topology Identification in Microgrids." Energies 10, no. 1 (2016): 28. http://dx.doi.org/10.3390/en10010028.

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Yazov, Yury, and Alexander Avsentiev. "INFORMATION PROTECTION FROM LEAKAGE THROUGH TECHNICAL CHANNELS ON THE BASIS OF ADAPTIVE MULTIAGENT SECURITY SYSTEM AT THE INFORMATIZATION OBJECT." Voprosy kiberbezopasnosti, no. 5(51) (2022): 2–13. http://dx.doi.org/10.21681/2311-3456-2022-5-2-13.

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Purpose: to show the creation and consideration perspective of the ways to build a multi-agent information security system at an informatization object with the implementation of a decentralized and mixed (centralizeddecentralized) principle of its design and functioning in order to exclude the extraction of various types of information, data about the characteristics of the informatization object and relationships between its structural elements. Method: the method of functional and structural analysis of technical channels of leaking information circulating in the form of speech information

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Horfan Álvarez, Daniel, Andrew Mark Bailey, and Lucas Adrián Gómez Blandón. "Distributed network multi agent security system. Net-Mass." Revista Facultad de Ingeniería Universidad de Antioquia, no. 34 (July 24, 2005): 101–13. http://dx.doi.org/10.17533/udea.redin.343174.

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Network security is one of the weakest and most sensitive areas within an organization, because it requires different strategies to protect vulnerable points as well as the coordination and distribution of efforts in order to encompass all the possible forms and points of computer attacks. In this article a distributed multiagent system is proposed as a tool to protect security in networks with different operating systems and which consequently are susceptible to diverse attacks. The system proposed is composed of heterogeneous autonomous agents with different characteristics in terms of their

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Wang, Pengyuan, and Manimaran Govindarasu. "Multi-Agent Based Attack-Resilient System Integrity Protection for Smart Grid." IEEE Transactions on Smart Grid 11, no. 4 (2020): 3447–56. http://dx.doi.org/10.1109/tsg.2020.2970755.

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Albarakati, Aiman J., Mohamed Azeroual, Younes Boujoudar, et al. "Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System." Energies 16, no. 1 (2022): 224. http://dx.doi.org/10.3390/en16010224.

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Accurate fault location is challenging due to the distribution network’s various branches, complicated topology, and the increasing penetration of distributed energy resources (DERs). The diagnostics for power system faults are based on fault localization, isolation, and smart power restoration. Adaptive multi-agent systems (MAS) can improve the reliability, speed, selectivity, and robustness of power system protection. This paper proposes a MAS-based adaptive protection mechanism for fault location in smart grid applications. This study developed a novel distributed intelligent-based multi-ag

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Chang, Jiang, Yan Peng, and Xiao Jun Feng. "Small Wind-Solar Hybrid Power Generation System Based on Multi-Agent." Advanced Materials Research 772 (September 2013): 587–93. http://dx.doi.org/10.4028/www.scientific.net/amr.772.587.

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This paper presents a small wind-solar hybrid power generation system based on multi-agent. The system is composed of wind power agent module, solar power agent module and battery charging and discharging agent module. The power agent generation module is composed of the communication agent, decision-making agent, data processing agent, data collecting agent, power transformation operating agent, protection agent, coordination agent and component control agent. According to the different weather conditions and different power state of equilibrium, the agents of the small wind-solar hybrid powe

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Rafanelli, Andrea, Stefania Costantini, and Giovanni De Gasperis. "Neural-logic multi-agent system for flood event detection." Intelligenza Artificiale 17, no. 1 (2023): 19–35. http://dx.doi.org/10.3233/ia-230004.

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This paper shows the capabilities offered by an integrated neural-logic multi-agent system (MAS). Our case study encompasses logical agents and a deep learning (DL) component, to devise a system specialised in monitoring flood events for civil protection purposes. More precisely, we describe a prototypical framework consisting of a set of intelligent agents, which perform various tasks and communicate with each other to efficiently generate alerts during flood crisis events. Alerts are only delivered when at least two separates sources agree on an event on the same zone, i.e. aerial images and

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Bitirgen, Kübra, and Ümmühan Başaran Filik. "Multi-Defender Strategic Filtering Against Multi Agent Cyber Epidemics on Multi-Environment Model for Smart Grid Protection." E3S Web of Conferences 469 (2023): 00095. http://dx.doi.org/10.1051/e3sconf/202346900095.

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The growing cyber space with the developments in cyber network technologies in smart grid (SG) systems has necessitated questioning the reliability of networks and taking precautions against possible cyber threats. For this reason, defensive strategies and approaches against cyber attacks must be improved to sustain secure information flow of the network connections used in electricity generation, transmission, distribution, and consumption. This paper proposes a multi-agent multi environment deep reinforcement learning (MM-DRL) based defender response against cyber epidemics consisting coordi

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Dizioli, F. A. S., P. H. A. Barra, T. S. Menezes, V. A. Lacerda, D. V. Coury, and R. A. S. Fernandes. "Multi-agent system-based microgrid protection using angular variation: An embedded approach." Electric Power Systems Research 220 (July 2023): 109324. http://dx.doi.org/10.1016/j.epsr.2023.109324.

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Peidaee, Pejman, Akhtar Kalam, and Juan Shi. "Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources." Energies 13, no. 20 (2020): 5250. http://dx.doi.org/10.3390/en13205250.

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In conventional method protection schemes are devised for certain operation conditions with fixed settings throughout their operation life, however, protection systems in interconnected distribution networks rely on a detailed analysis of fault current contribution and variation in operation conditions under real-world scenarios. In fact, the concept of Adaptive Protection System (APS) and possibility of the adjustment for protection settings within modern Intelligent Electronic Devices (IEDs) have introduced desired functionalities for protection systems to cope with complex operation scenari

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Góral, Piotr, Paweł Pawłowski, Karol Piniarski, and Adam Dąbrowski. "Multi-Agent Vision System for Supporting Autonomous Orchard Spraying." Electronics 13, no. 3 (2024): 494. http://dx.doi.org/10.3390/electronics13030494.

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In this article, the authors propose a multi-agent vision system supporting the autonomous spraying of orchards and analyze the condition of trees and occurrence of pests and diseases. The vision system consists of several agents: first, for the detection of pests and diseases of fruit crops; second, for the estimation of the height of trees to be covered with spraying; third, for the classification of the developmental status of trees; and fourth, for the classification of tree infections by orchard diseases. For the classification, modified deep convolutional neural networks were used: Xcept

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Acevedo-Iles, Manuel, David Romero-Quete, and Camilo A. Cortes. "A Distributed Coordination Approach for Enhancing Protection System Adaptability in Active Distribution Networks." Energies 17, no. 17 (2024): 4338. http://dx.doi.org/10.3390/en17174338.

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The electrical protection of active distribution networks is crucial for ensuring reliable, safe, and flexible operations. However, protecting these networks presents several challenges due to the emergence of bi-directional power flows, network reconfiguration capabilities, and changes in fault current levels resulting from the integration of inverter-based resources. This paper introduces an innovative protection strategy for active distribution networks, leveraging the principles of distributed coordination and multi-agent systems. The proposed strategy consists of two stages. The first sta

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Anwari, Sabat, Dini Fauziah, and Lita Lidyawati. "Challenges of implementing protection systems in smart grids: a review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 715. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp715-729.

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<span>Based on the emergence of increasingly advanced technology, the conventional power grid can be upgraded to a smart grid by adding bidirectional communication, computer algorithms, and equipment that uses artificial intelligence (AI). A smart grid is a revolution in the current electricity network that can control the two-way generation and transmission process by utilizing an intelligent system so that the distribution of electric power can be handled optimally and in real time. The challenge of the smart grid is that there are distributed generators and microgrids that must be con

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Sabat, Anwari Dini Fauziah Lita Lidyawati. "Challenges of implementing protection systems in smart grids: a review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 715–29. https://doi.org/10.11591/ijeecs.v37.i2.pp715-729.

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Based on the emergence of increasingly advanced technology, the conventional power grid can be upgraded to a smart grid by adding bidirectional communication, computer algorithms, and equipment that uses artificial intelligence (AI). A smart grid is a revolution in the current electricity network that can control the two-way generation and transmission process by utilizing an intelligent system so that the distribution of electric power can be handled optimally and in real time. The challenge of the smart grid is that there are distributed generators and microgrids that must be controlled in r

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Ababii, Victor, Viorel Carbune, Viorica Sudacevschi, Galina Marusic, Rodica Braniste, and Nicu Drumea. "Multi-agent system for monitoring and prediction of environmental processes." Akademos, no. 1(76) (April 2025): 22–30. https://doi.org/10.52673/18570461.25.1-76.01.

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The paper explores the development of a multi-agent scalable system (SMA) concept for monitoring and predicting environmental processes, addressing the challenges related to the organization of distributed computing processes and the application of knowledge-based models, machine learning and artificial intelligence. SMA offers an innovative solution based on autonomous agents that perceive the environment, collaborate with each other, with the data storage center and implement advanced computing models. The technical and technological development of the system provides for the use of a set of

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Venkata Surya Sai Charan Lolla. "The evolution of cloud computing: Leveraging multi-AI agent integration." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 687–92. https://doi.org/10.30574/wjarr.2025.26.2.1587.

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Multi-AI agent integration in cloud computing represents a transformative advancement in distributed artificial intelligence, where interconnected intelligent agents collaborate to solve complex problems. This technological evolution enables sophisticated task distribution, parallel processing, and dynamic resource allocation through coordinated agent networks. The architecture supports both autonomous operation and collaborative decision-making, implementing advanced protocols for inter-agent communication and system optimization. These systems demonstrate remarkable capabilities across vario

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Ghaffarzadeh, Navid, and Ali Bamshad. "A New Approach to AC Microgrids Protection Using a Bi-Level Multi-Agent System." Research and Technology in the Electrical Industry 1, no. 1 (2022): 66–74. http://dx.doi.org/10.52547/ijrtei.1.1.66.

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Hussain, Akhtar, Muhammad Aslam, and Syed Muhammad Arif. "N-version programming-based protection scheme for microgrids: A multi-agent system based approach." Sustainable Energy, Grids and Networks 6 (June 2016): 35–45. http://dx.doi.org/10.1016/j.segan.2016.02.001.

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Yang, Li, Xie Dong Cao, and Jie Li. "Research on Minimum-Cost-Based Task Decomposition Model of Multiple Expert Systems for Oil-Gas Reservoir Protection Based on Agent." Applied Mechanics and Materials 275-277 (January 2013): 2650–53. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2650.

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To solve collaboration problem in multi-expert system, intelligent agent technology is used in multi-expert system.Firstly,by introducing a minimum-cost-based formal description of task decomposition,a new agent task decompositon model is presented.Secondly, heuristic algorithm for task decomposition is analyzed to solve communication among agents.For illustration, expert systems for oil-gas reservoir protection is utilized to verify the effectiveness of the method.The application of the expert system shows that based-minimum-cost task decompostion model is valid in agent task decomposition an

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Et. al., Zakoldaev D. A. ,. "Threat and Intruder Models of Multi-agent Robotic System Using Police Office Model with Quantum Encryption*." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 2649–58. http://dx.doi.org/10.17762/turcomat.v12i2.2279.

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The subject of this study is to ensure the confidentiality of information in mobile robotic systems. To ensure the confidentiality of information, it is proposed to use quantum encryption methods. Existing developments in this area allow to ensure the correct generation of quantum keys between two elements. The paper considers the functioning of the multi-agent robotic system based on the Police Office Model, the general scheme of functioning and basic processes of information interaction are given. The authors consider the issue of the protection of the multi-agent robotic system by using qua

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Sais, Manar, Najat Rafalia, Rabie Mahdaoui, and Jaafar Abouchabaka. "Distributed storage optimization using multi-agent systems in Hadoop." E3S Web of Conferences 412 (2023): 01091. http://dx.doi.org/10.1051/e3sconf/202341201091.

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Understanding data and extracting information from it are the main objectives of data science, especially when it comes to big data. To achieve these goals, it is necessary to collect and process massive data sets, arriving at the system in different formats at great velocity. The Big Data era has brought us new challenges in data storage and management, and existing state-ofthe-art data storage and processing tools are poised to meet the challenges while posing challenges to the next generation of data. Big Data storage optimization is essential for improving the overall efficiency of Big Dat

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Rahman, M. S., M. A. Mahmud, H. R. Pota, M. J. Hossain, and T. F. Orchi. "Distributed Multi-Agent-Based Protection Scheme for Transient Stability Enhancement in Power Systems." International Journal of Emerging Electric Power Systems 16, no. 2 (2015): 117–29. http://dx.doi.org/10.1515/ijeeps-2014-0143.

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Abstract This paper presents a new distributed agent-based scheme to enhance the transient stability of power systems by maintaining phase angle cohesiveness of interconnected generators through proper relay coordination with critical clearing time (CCT) information. In this distributed multi-agent infrastructure, intelligent agents represent various physical device models to provide dynamic information and energy flow among different physical processes of power systems. The agents can communicate with each other in a distributed manner with a final aim to control circuit breakers (CBs) with C

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Li, Xiuxia. "Design of a Traditional Village Cultural Heritage Preservation and Management System Based on Multi-Agent Networks." International Journal of e-Collaboration 20, no. 1 (2024): 1–15. http://dx.doi.org/10.4018/ijec.357993.

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Preserving cultural heritage is essential for maintaining cultural diversity and promoting sustainable development. This study investigates the application of multi-agent networks in the protection and management of traditional village cultural heritage, capitalizing on their inherent distributed, collaborative, and adaptable characteristics. By integrating advanced technologies such as big data, data mining, and machine learning, the research meticulously develops a comprehensive system architecture and functional modules aimed at revitalizing traditional village spaces. The findings demonstr

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Zagazezheva, Oksana, Kantemir Bzhikhatlov, Karina Krai, and Mariyam Khadzhieva. "Economic efficiency of implementing robotic solutions and their impact on the ecology of the region." E3S Web of Conferences 458 (2023): 05010. http://dx.doi.org/10.1051/e3sconf/202345805010.

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The relevance of creating a system of robotic plant protection is due to the need to preserve the planned yield and increase its competitiveness in the conditions of food security of the country and the region. Taking into account the decrease in the number of specialists and staff shortage in agriculture, related, among other things, to heavy physical work, the issue of transition to unmanned technologies in crop production becomes important. The paper describes the concept of an intelligent distributed system of robotic plant protection. The presented concept implies the creation of a multi-

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Alanezi, Mohammed Ateeq. "A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 11 (2021): 93. http://dx.doi.org/10.3991/ijoe.v17i11.25347.

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<p class="0abstract">Privacy and security are crucial when it comes to the implementation of Electronic Healthcare Records (HER). Whenever a patient visits a doctor, their health records are updated since it consists of vital information on the patient's health and well-being. It also comprises of description about the previous and current treatment quality.Multi-Agent Systems can support E-Healthcare applications for improving quality of life. The availability and use of extensive systems for EHR has increased dramatically. The EHR technology currently available consists of health infor

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Boudia, Mohamed Amine, Reda Mohamed Hamou, and Abdelmalek Amine. "A New Meta-Heuristics for Intrusion Detection System Inspired from the Protection System of Social Bees." International Journal of Information Security and Privacy 11, no. 1 (2017): 18–34. http://dx.doi.org/10.4018/ijisp.2017010102.

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In this paper, the authors will propose a meta-heuristic for intrusion detection system by scenario, inspired from the protection system of social bees to their hive. This approach is based on a specialized multi agent system where the authors will give a limited responsibility to each guard bee agent: to secure only one port, this specialization aims to better exploit the training set and the hardware and software performance. The authors will start this paper by a short introduction where they will show the importance of IT security especially today, then they will give a little insight into

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Neretin, Evgeniy Yu, Yu L. Minaev, and V. A. Akulov. "MULTI-AGENT TECHNOLOGY IN THE EARLY DIAGNOSIS OF SKIN MELANOMA." Health Care of the Russian Federation 62, no. 6 (2019): 331–35. http://dx.doi.org/10.18821/0044-197x-2018-62-6-331-335.

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The problems of the use of existing forms of organization in health care, focused on timely diagnosis of tumors of external localization, are analyzed. The urgency of the problem and the need to improve its effectiveness are determined by a number of factors, including numerous publications in Russia and abroad, as well as many years of experience of the authors. An approach based on interdisciplinary technology (medicine, software engineering) using multi-agent methods is proposed. The concept of technology and the model of the system composition consisting of an artificial neural network, an

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Sampaio, Felipe C., Ruth P. S. Leão, Raimundo F. Sampaio, Lucas S. Melo, and Giovanni C. Barroso. "A multi-agent-based integrated self-healing and adaptive protection system for power distribution systems with distributed generation." Electric Power Systems Research 188 (November 2020): 106525. http://dx.doi.org/10.1016/j.epsr.2020.106525.

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ЯРОВИЙ, РОМАН, ОЛЕКСАНДР УЛІЧЕВ, ОЛЕНА СКЛЯРЕНКО та ВАЛЕРІЙ ПАШОРІН. "МОДЕЛЮВАННЯ МУЛЬТИАГЕНТНИХ СИСТЕМ ЗАХИСТУ ІНФОРМАЦІЙНИХ РЕСУРСІВ". Herald of Khmelnytskyi National University. Technical sciences 337, № 3(2) (2024): 278–84. http://dx.doi.org/10.31891/2307-5732-2024-337-3-42.

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Traditional centralized information protection systems do not provide an adequate level of adaptability and efficiency in a dynamically changing threat environment. Multi-agent systems, having a distributed architecture and the possibility of autonomous decision-making, represent a promising direction for solving information security problems. The novelty of the research lies in the development of a multi-agent information protection system with enhanced capabilities for vulnerability analysis and intrusion detection. Unlike existing solutions, the proposed system provides active analysis of t

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Yacouba, Yazid Hambally, Amadou Diabagaté, Abdou Maiga, and Adama Coulibaly. "Multi-agent System for Management of Data from Electrical Smart Meters." International Journal of Information Technology and Computer Science 13, no. 1 (2021): 18–43. http://dx.doi.org/10.5815/ijitcs.2021.01.02.

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The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduli

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Lee, Seung-Jae, Tae-Wan Kim, and Gi-Young Lee. "Autonomous optimal coordination scheme in protection system of power distribution network by using multi-agent concept." Transactions of Tianjin University 14, no. 2 (2008): 106–11. http://dx.doi.org/10.1007/s12209-008-0019-5.

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Aarabi, Majid, Muhamad Zameri Mat Saman, and Kuan Yew Wong. "The Use of Multi-Agent Systems in Managing Sustainable Supply Chain." Applied Mechanics and Materials 315 (April 2013): 108–12. http://dx.doi.org/10.4028/www.scientific.net/amm.315.108.

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The main purposes and challenges in supply chain management are reducing cost and time. Significantly, factors such as the competition of markets in the globe, limitation of energy, raw and virgin materials, environmental protection crisis and increasing of global population dramatically are causing unprecedented issues for the worldwide supply chains for providing goods and services to customers efficiently and effectively. The sustainability approach for Supply Chain Management (SCM) considers the 6Rs principles in four main stages of the supply chains: Pre-manufacture, Manufacture, Use and

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Abbaspour, Ehsan, Bahador Fani, Iman Sadeghkhani, and Hassan Haes Alhelou. "Multi-Agent System-Based Hierarchical Protection Scheme for Distribution Networks With High Penetration of Electronically-Coupled DGs." IEEE Access 9 (2021): 102998–3018. http://dx.doi.org/10.1109/access.2021.3098387.

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Tong, Xiaoyang, Xiaoru Wang, Rui Wang, et al. "The Study of a Regional Decentralized Peer-to-Peer Negotiation-Based Wide-Area Backup Protection Multi-Agent System." IEEE Transactions on Smart Grid 4, no. 2 (2013): 1197–206. http://dx.doi.org/10.1109/tsg.2012.2223723.

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Wang, Wenke, Xiaoqiong You, Kebei Liu, Yenchun Jim Wu, and Daming You. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach." International Journal of Environmental Research and Public Health 17, no. 22 (2020): 8463. http://dx.doi.org/10.3390/ijerph17228463.

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A central-local dual governance system is the basic system of environmental governance in China. Co-governance between the central environmental protection department (CEPD) and local environmental protection departments (LEPDs) is an important means to effectively promote China’s carbon emission reduction strategy. Accordingly, this paper discusses their interactive decision-making and investigates how to optimize the strategic relationships between the CEPD, LEPDs, and carbon emission enterprises (CEEs) under the dual governance system by constructing a trilateral evolutionary game model and

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Hamza, Ameer, Syed Tahir Hussain Rizvi, Muhammad Umair Safder, and Haleema Asif. "A Novel Mathematical Approach to Model Multi-Agent-Based Main Grid and Microgrid Networks for Complete System Analysis." Machines 10, no. 2 (2022): 110. http://dx.doi.org/10.3390/machines10020110.

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Penetration of renewable energy resources in modern power systems has increased rapidly. The integration of different renewable and nonrenewable resources for the purpose of electricity generation is referred to as Distributed Generation (DG) units. The penetration of DG units gave birth to the concept of power microgrid. Power inverters play a major role in the integration of DGs in the power system. Control and stability analysis of microgrids in power systems is a challenging task for the control community. Dynamic microgrid modeling demands knowledge of fundamental engineering laws to deta

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Sheng, Xuanzhu, Yang Zhou, and Xiaolong Cui. "Graph Neural Network Based Asynchronous Federated Learning for Digital Twin-Driven Distributed Multi-Agent Dynamical Systems." Mathematics 12, no. 16 (2024): 2469. http://dx.doi.org/10.3390/math12162469.

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The rapid development of artificial intelligence (AI) and 5G paradigm brings infinite possibilities for data annotation for new applications in the industrial Internet of Things (IIoT). However, the problem of data annotation consistency under distributed architectures and growing concerns about issues such as data privacy and cybersecurity are major obstacles to improving the quality of distributed data annotation. In this paper, we propose a reputation-based asynchronous federated learning approach for digital twins. First, this paper integrates digital twins into an asynchronous federated l

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Dubenko, Yuri Vladimirovich, Evgeniy Evgen'evich Dyshkant, and Aleksandr Anatol'evich Obozovskiy. "The optimizing method of centralized multi-agent systems organizational structure in automatic mode." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2024, no. 1 (2024): 46–55. http://dx.doi.org/10.24143/2072-9502-2024-1-46-55.

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The organizational structure of a multi-agent system (MAS) is a set of roles and relationships of agents, com-ponents that control their behavior, as well as rules governing the interaction of system elements. The effectiveness of the MAS largely depends on the characteristics of the organizational structure used. Existing solutions in this area have a significant disadvantage, namely low adaptability to changes in environmental parameters or adjustment of the conditions of the task, which consists in the need to restart the procedure for synthesizing the organizational structure of the MAS. T

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Bhardwaja, Shambhu, Bhuvana Bhuvana, and Davendra Kumar Doda. "The use of multi-agent systems in an automated restoration process for power distribution networks." Multidisciplinary Science Journal 5 (August 10, 2023): 2023ss0119. http://dx.doi.org/10.31893/multiscience.2023ss0119.

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The capacity of future smart grids to automatically detect problems, isolate them, and restore service is a key feature. Traditional mathematical programming techniques and heuristic approaches become computationally highly expensive when used for the restoration issue, which is a comprehensive nonlinear optimization challenge. Distributed control must offer comfortable and safe power system operation and improve consumer supply quality. In this article, we suggest the multi-agent system (MAS) as the creative process that applies to the existing power distribution network. The MAS agents are i

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Yang, Li, and Hao De Liao. "Research on Cooperation Mechanism of Multiple Expert Systems for Oil-Gas Reservoir Protection Based on Agent." Applied Mechanics and Materials 312 (February 2013): 835–39. http://dx.doi.org/10.4028/www.scientific.net/amm.312.835.

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To solve collaboration problem in intelligent agents, a new cooperation mechanism is used in multi-expert system.Firstly,by introducing five-tuple with constraint condition,a new agent task decomposition model is presented.Secondly, blackboard mechanism based on point-to point is analyzed to solve communication among agents. The application of the expert system shows that our proposed task decompostion model is valid and blackboard mechanism based on point-to point can be used as communication among agents.Finally, minimum-cost-based cooperation mechanism based on agents can effectively solve

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Ataei, Mohammad Ali, and Mohsen Gitizadeh. "A distributed adaptive protection scheme based on multi‐agent system for distribution networks in the presence of distributed generations." IET Generation, Transmission & Distribution 16, no. 8 (2021): 1521–40. http://dx.doi.org/10.1049/gtd2.12351.

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Gökçek, Tayfur, Mehmet Tan Turan, and Yavuz Ateş. "A new decentralized Multi-agent System for Peer-to-Peer energy market considering variable prosumer penetration with privacy protection." Sustainable Energy, Grids and Networks 38 (June 2024): 101328. http://dx.doi.org/10.1016/j.segan.2024.101328.

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Sinitsyn, Ivan, Anton Mironov, Yuriy Vorontsov, Nikita Borzykh, and Evgenia Mikhailova. "The principles of synchronization in the distributed information systems." Economic Annals-ХХI 183, no. 5-6 (2020): 79–88. http://dx.doi.org/10.21003/ea.v183-08.

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Information, especially its automated processing, is still an important factor in improving the efficiency of any organization. Distributed information systems (IS, ISs) differ from conventional ISs in architectural and infrastructural principles, as well as in the geographic location with integration into one information cluster. One of the examples of distributed information systems is the infrastructure of the Google search engine - more than 2,000 servers, with server bases in almost every country in the world, which allows achieving a minimum delay in sending and receiving client requests

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Liu, Hexing, Yi Huang, Zhiqin Liu, Lifei Dong, and Miao Wang. "The Development and Application of Novel Water-Based Drilling Fluid for Complex Pressure System Formation in the South China Sea." Processes 11, no. 5 (2023): 1323. http://dx.doi.org/10.3390/pr11051323.

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The Y oilfield reservoir is characterized by ultra-depleted reservoir and multiple pressure systems in each well section. If conventional PLUS/KCL drilling fluid is used in directional drilling, the following problems are found: the rheological stability of drilling fluid is not sufficient, resulting in increased viscosity and thickening after aging, and the single plugging material may cause loss-circulation when the drilling differential pressure is more than 26 MPa, resulting in poor reservoir protection effects. To solve the above problems, based on the conventional PLUS/KCL drilling fluid

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Chatterjee, Pushpalika. "Federated Multi-Agent Reinforcement Learning for Real-Time Risk Scoring in Cross-Border Payment Networks." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 800–817. https://doi.org/10.60087/jaigs.v6i1.381.

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As financial ecosystems become increasingly digitized and globalized, cross-border payments present escalating challenges in real-time risk assessment, fraud detection, and regulatory compliance. Traditional centralized models for risk scoring often fall short in scalability, privacy preservation, and adaptability. This research proposes an innovative architecture that fuses Federated Learning (FL) with Multi-Agent Reinforcement Learning (MARL) to enable decentralized, privacy-preserving, and adaptive real-time risk scoring across international payment gateways. Each participating financial en

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Li, Xueping, and Ziyang Wang. "A Cloud-Edge Computing Method for Integrated Electricity-Gas System Dispatch." Processes 11, no. 8 (2023): 2299. http://dx.doi.org/10.3390/pr11082299.

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An integrated electric–gas system (IEGS) is the manifestation and development direction of a modern smart power system. This paper employs the cloud-edge computing method to research IEGS’s optimal dispatch to satisfy data protection requirements between power systems and natural gas systems and reduce data transmission pressure. Based on cloud-edge computing architecture, this paper constructs a cloud-edge computing method based on the Multi-agent Deep Deterministic Policy Gradient (MADDPG) algorithm to solve optimal dispatch problems. Then, this paper proposes an IEGS dispatch strategy based

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