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Journal articles on the topic 'Intelligent power system'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Kumano, Teruhisa. "Intelligent System Applications in Power Systems." IEEJ Transactions on Power and Energy 127, no. 5 (2007): 605–8. http://dx.doi.org/10.1541/ieejpes.127.605.

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Chen-Ching Liu, D. A. Pierce, and Haili Song. "Intelligent system applications to power systems." IEEE Computer Applications in Power 10, no. 4 (1997): 21–22. http://dx.doi.org/10.1109/67.625369.

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3

Madhu, Manu C., Jean Jacob, Shiva Krishna M M, and Krishna Ramesh. "Intelligent Power Management System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–4. https://doi.org/10.55041/ijsrem40128.

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Abstract—The paper deals with an Intelligent Power Manage- ment System that can help modernize the existing Power Grids with newer technologies such as AI and ML. Incorporating AI can help to improve the power generation supply and overall management. The Power Management System can ensure reliable power supply. Index Terms—PMS(Power Management System), AI, ANN, ML, Rational

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Kádár, Péter. "Making the power system intelligent." Renewable Energy and Power Quality Journal 1, no. 06 (2008): 788–92. http://dx.doi.org/10.24084/repqj06.490.

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Saoudi, Kamel, Ziyad Bouchama, Mouloud Ayad, Mourad Benziane, and Mohamed Naguib Harmas. "Intelligent power system controller design." International Journal of Computer Applications in Technology 60, no. 2 (2019): 124. http://dx.doi.org/10.1504/ijcat.2019.100136.

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Saoudi, Kamel, Mohamed Naguib Harmas, Mouloud Ayad, Mourad Benziane, and Ziyad Bouchama. "Intelligent power system controller design." International Journal of Computer Applications in Technology 60, no. 2 (2019): 124. http://dx.doi.org/10.1504/ijcat.2019.10021782.

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Zhang, Hao, and Zeyu Zhang. "Design of the Power System and Remote Control System for the Unmanned Ship." Journal of Physics: Conference Series 2121, no. 1 (2021): 012021. http://dx.doi.org/10.1088/1742-6596/2121/1/012021.

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Abstract In lakes and reservoirs with high environmental protection requirements, it is necessary to adopt pure electric intelligent water quality monitoring ships, adopt pure electric power systems and intelligent remote control systems. This article specifically completed the design of the power system and remote control system of the smart ship, and elaborated the design method in detail. The system has the characteristics of high reliability, miniaturization, and modularization. The successful development of the system has greatly improved the intelligence of water quality monitoring ships

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Lee, Heung-Jae, and Jung-Hyun Oh. "Restoration Aid Expert System for Power Systems." E3S Web of Conferences 152 (2020): 03008. http://dx.doi.org/10.1051/e3sconf/202015203008.

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This paper propose an intelligent restoration aid system that assists the decision of power system operators for reliable and fast restoration processes when a blackout happened in massive power systems. This system consists of a topology processor and intelligent restoration aid system. The topology processor identifies the real-time embedded topology structure between power system facilities and determines the power outage section. The power system restoration aid system determines the feasible restoration path in terms of overloads and real power flow. Case studies demonstrate a promising p

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Engel, Ekaterina, Igor Kovalev, Nikolay Testoyedov, and Nikita E. Engel. "Intelligent Reconfigurable Photovoltaic System." Energies 14, no. 23 (2021): 7969. http://dx.doi.org/10.3390/en14237969.

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The global maximum power point tracking of a PV array under partial shading represents a global optimization problem. Conventional maximum power point tracking algorithms fail to track the global maximum power point, and global optimization algorithms do not provide global maximum power point in real-time mode due to a slow convergence process. This paper presents an intelligent reconfigurable photovoltaic system on the basis of a modified fuzzy neural net that includes a convolutional block, recurrent networks, and fuzzy units. We tune the modified fuzzy neural net based on modified multi-dim

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Maronchuk, I. I., I. V. Shirokov, A. A. Velchenko, and V. I. Mironchuk. "Intelligent LED Lighting System." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 61, no. 5 (2018): 440–50. http://dx.doi.org/10.21122/1029-7448-2018-61-5-440-450.

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The article presents the development of an intelligent control system for LED lighting, applicable to autonomous electric lighting installations, outdoor lighting fixtures on posts to illuminate highways, roads, streets and surrounding areas. The system combines all local lighting systems in which the motion sensor and the LED luminaire are integrated into one network. Turning on the LED luminaire at reduced power is carried out automatically when the level of external natural light is less than a certain threshold value. In the case of appearance of an object moving along the motion sensors o

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11

Lin, Bo, Zhengying Miao, Jiayi Shao, and Kai Hu. "Automatic intelligent operation and maintenance system for photovoltaic panel failure of photovoltaic power stations." Journal of Physics: Conference Series 2993, no. 1 (2025): 012005. https://doi.org/10.1088/1742-6596/2993/1/012005.

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Abstract As an important part of the new energy system, the operation and maintenance efficiency and intelligence level of photovoltaic power stations are directly related to the power generation efficiency and operation cost of the power stations. In order to solve the problems of low automation degree, high labor consumption, and difficult fault detection in the operation and maintenance process of photovoltaic power stations, an automatic intelligent operation and maintenance system for photovoltaic panel fault in photovoltaic power station is proposed in this paper. The system combines art

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12

Sharma, Avdhesh, and M. L. Kothari. "Intelligent dual input power system stabilizer." Electric Power Systems Research 64, no. 3 (2003): 257–67. http://dx.doi.org/10.1016/s0378-7796(02)00198-0.

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13

Xiao, Xinhang. "Reinforcement Learning Optimized Intelligent Electricity Dispatching System." Journal of Physics: Conference Series 2215, no. 1 (2022): 012013. http://dx.doi.org/10.1088/1742-6596/2215/1/012013.

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Abstract With the rapid development of artificial intelligence, new changes are coming to all walks of life including traditional manufacturing industry, bio-pharmaceutical industry, electric-power industry, etc.. For electric-power industry, many machine learning algorithms have been used to achieve intelligent dispatch of electricity, intelligent electricity equipment fault diagnosis and more optimized customer management, among which the automation of power network is one of the most important issue ensuring safe operation of electricity grid. In the recent years, intelligent dispatch metho

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14

Dai, Qing Hui, and Rui Hong Zhang. "The Design of Intelligent Service System in the Power Supply Enterprises Based on SOA." Applied Mechanics and Materials 411-414 (September 2013): 2027–30. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2027.

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In power supply enterprises, providing intelligent service for the residential users is a very crucial approach to increase the customer satisfaction. Taking the demand of residential users as the center, analyze the basic design goal of the intelligence service system and the functions of four subsystems. This paper apply the SOA design idea in building the frame structure of the intelligent service system in power supply enterprises, and the content of every layer in this frame structure is introduced. Then the safe electricity utilization expert system, which belongs to a newly built servic

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15

Voropai, Nikolai, Dmitry Efimov, Victor Kurbatsky, and Nikita Tomin. "Stability of intelligent energy system and intelligent control methods." E3S Web of Conferences 139 (2019): 01051. http://dx.doi.org/10.1051/e3sconf/201913901051.

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In modern power systems, a variety of both objects and the tools of control is expected to be much larger than before. As a result, the dynamic properties of these systems are complicated, and the issues of maintaining stability come to the fore. The paper provides a brief overview of the types of stability, including those that, until recently, were considered local in the electric power systems of Russia. It is shown that in today’s conditions the violation of these types of stability affects the operation of the electric power system as a whole. Therefore, the coordination of control of bot

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Wang, Ning, Xiaojun Hou, Jikun Ma, Bingbing Yuan, and Fuyan Xin. "Research on Big Data Intelligent System for Fault Diagnosis of Computer Aided Ship Power System." Frontiers in Computing and Intelligent Systems 8, no. 3 (2024): 65–69. http://dx.doi.org/10.54097/11sgn708.

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This paper aims to build a new fault diagnosis system based on big data and artificial intelligence technology. This study first expounds the application value and prospect of big data technology and intelligent algorithm in the fault diagnosis of ship power system, and realizes the effective integration and mining of massive, multi-source and heterogeneous ship power system operation data through in-depth analysis of the characteristics of ship power system operation data. Secondly, in view of the nonlinear and time-varying characteristics of ship power system faults, this study designs and i

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Mamun, Munzur-ul, A. H. M. Zadidul Karim, and Md Istiaq Mahbub. "Low Power Microcontroller Based Intelligent Token Number Speaker and Display System." International Journal of Engineering and Technology 3, no. 2 (2011): 199–202. http://dx.doi.org/10.7763/ijet.2011.v3.224.

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18

Liang, Haobo, Yingxiong Leng, Jinman Luo, Jie Chen, and Xiaoji Guo. "Research on the Path of Artificial Intelligence Technology to Improve the Security of New Power System." Journal of Big Data and Computing 3, no. 1 (2025): 22–30. https://doi.org/10.62517/jbdc.202501104.

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This paper explores the application of artificial intelligence (AI) technologies to enhance the security of new power systems. It begins with an introduction to AI and new power systems, followed by a detailed analysis of the security requirements specific to these systems. The paper defines and classifies power system security, addressing the unique challenges posed by new power infrastructures, and identifies key security factors. It then discusses how AI can improve security in power systems through intelligent perception and monitoring, intelligent analysis and decision-making, network sec

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19

Zhao, Yu. "An overview of machine learning applications in elastic power systems." Applied and Computational Engineering 95, no. 1 (2024): 107–17. http://dx.doi.org/10.54254/2755-2721/95/2024bj0064.

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Abstract. With the development of economy and the access of renewable energy, the power system is facing new challenges. Machine learning provides a new way for the intelligent management of power system through big data analysis, pattern recognition and predictive modeling. This paper reviews the application of machine learning technology in elastic power system, including load forecasting, transient stability assessment, intelligent scheduling and fault diagnosis. Machine learning will better improve the stability, reliability and economic benefit of the system. Future research will focus on

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20

Zhang, Shun, Yankai Zhang, Shibao Cao, Biao Li, Xiangmeng Qi, and Shengpeng Li. "Design and Application of Intelligent Patrol System in Substation." Journal of Physics: Conference Series 2237, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2237/1/012017.

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Abstract With the continuous development and improvement of power grid technology, intelligence has become the development goal of power grid technology. By designing an intelligent substation inspection system, simplifies the operational tasks of inspectors, and makes inspection of power equipment more accurate, efficient, and traceable. In the implementation of the system, the mobile terminal is responsible for the collection, input, and upload of inspection data, and the server completes the data reception and statistics and displays it visually. And the application of the case proves that

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21

Ehikhamenle, Matthew, and Praise I. Onu. "Application of Intelligent Solar Panel Repositioning System for Improved Charging of Battery Cells." European Journal of Engineering and Technology Research 7, no. 6 (2022): 64–70. http://dx.doi.org/10.24018/ejeng.2022.7.6.2863.

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This study presents intelligent re-calibration of mechanical and power electronic systems to carryout detection of the position of highest sunlight intensity; to intelligently repositioning of the solar panel to that direction for improved charge rate over short time ranges. The study also puts forward an additional feature being the deployment of IoT technology and internet communication protocols to achieve remote battery level monitoring and supply deactivation from an inverter driven by batteries to loads. The system was tested on two premises, the charge time for fixed panel as well as th

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22

Sobhana Obulareddy. "Anfis Based Energy Management System for Microgrids." Journal of Electrical Systems 20, no. 3 (2024): 1673–82. http://dx.doi.org/10.52783/jes.3662.

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Microgrids are typical low or medium voltage distribution networks that operate on an adaptive system. Which, employing intelligent energy management techniques, govern the power exchange between the main grid, locally distributed generators (DGs), and associated loads. This paper describes and evaluates the intelligent ANFIS based energy management approach for grid integrated microgrid networks. The ANFIS based intelligent controller estimates the power that must be generated by (or) stored in batteries, taking into consideration of power demanded by loads and available battery power by acco

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23

Guo, Qiang, Xiao Lan Xie, Yang Li, and Xin Yu Chen. "Studies on the Low-Voltage Dynamic Reactive Power Compensation and Switching Control for Capacitors Device." Applied Mechanics and Materials 385-386 (August 2013): 799–802. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.799.

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This paper is for the problems of the 400V low voltage power capacitor reactive power compensation and for the problems existing in the transient process, resuming the principle of low-voltage capacitor intelligent technology and its implementation briefly. Propose a synchronization of reactive compensation capacitor switching on-off control system based on the micro controller and adaptive control. Real-time monitoring system is used to access system active and reactive power changes in order to extract the zero voltage signals; intelligent control algorithm is used to realize the intelligenc

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24

Dong, Yongle, Luwei Bai, Jia Yu, Jia Xi, Zhao Jin, and Qi Zhang. "Design and Implementation of an Intelligent Power Metering and Measurement System based on IoT Technology." Journal of Physics: Conference Series 2409, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1742-6596/2409/1/012026.

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Abstract Intelligent power metering and measurement systems are important for expanding the category and quantity of power metering. This paper proposes a design and implementation method of an intelligent power metering and measurement system based on IoT technology. Composed of the perception layer, the network layer, the data layer, the analysis layer, and the application layer, the overall design scheme can not only realize the intelligence, automation, and data visualization of power metering and measurement but also improves the standardization of laboratory management through a standard

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25

McDonald, J. R., G. M. Burt, and S. D. J. McArthur. "Intelligent system applications for power system control and management." Computing & Control Engineering Journal 12, no. 2 (2001): 85–91. http://dx.doi.org/10.1049/cce:20010206.

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26

Chen, Su Fang, Mei Tao, and Dan Lin. "Intelligent Dispatching Operation System of Power Network." Applied Mechanics and Materials 536-537 (April 2014): 1231–35. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1231.

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This paper researches the corresponding inference-machine, which can adapt to complexity of the net-topology, the diversity of the operation task and the flexibility of operation mode. Multi-agents share information and cooperate to generate the right operation sheets. The system is used in one county power dispatching center.

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27

Du, Yong Sheng, Zhang Hong Yu, and Yu Qing Jian. "Design of Intelligent Green Power Management System." Applied Mechanics and Materials 340 (July 2013): 984–87. http://dx.doi.org/10.4028/www.scientific.net/amm.340.984.

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Intelligent power management system can detect and control the electricity consumption of electrical equipment of family and office automatically, to achieve the purpose of saving energy consumption. The monitoring server is the control center of the whole system,it can real-time monitor the energy consumption data of inserting the electric apparatus,and it can also control the power on and off automatically through remote operation of the client or using strategies. The monitoring server uses embedded Linux platform based on arm architecture,software development mainly uses C Language. This p

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Wu, Yan, Li Fang Wang, and Cheng Lin Liao. "The Residential Intelligent Power Consumption Management System." Applied Mechanics and Materials 394 (September 2013): 265–69. http://dx.doi.org/10.4028/www.scientific.net/amm.394.265.

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Because of lacking of effective management and various energy-saving measures, a family smart power management system is introduced. The system includes the servers, LAN and smart power management terminal; the system can control the equipment to achieve the scientific management, and provide users a platform to interact with electrical equipment; the user can use the phone , PAD, PC and other mobile devices log the specified smart power management service website anytime, anywhere to control the electrical household electrical household appliances and query the power consumption, also can con

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29

Ringer, Mark J., Todd M. Quinn, and Anthony Merolla. "Autonomous power system: Intelligent diagnosis and control." Telematics and Informatics 8, no. 4 (1991): 365–83. http://dx.doi.org/10.1016/s0736-5853(05)80060-7.

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30

Wenbo, Zheng, Chen Weidong, and Guo Xin. "Intelligent Control for Electrical Power Distribution System." IFAC Proceedings Volumes 21, no. 11 (1988): 327–33. http://dx.doi.org/10.1016/s1474-6670(17)53763-5.

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31

Song, Yao, and Kun Zhu. "Android-Based Intelligent Farmer Power Management System." Journal of Physics: Conference Series 1213 (June 2019): 042078. http://dx.doi.org/10.1088/1742-6596/1213/4/042078.

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32

Satish, Nithya, Swathi M, and Benita Roy M. "Intelligent Cross-axis Solar Power Tracking System." SciWaveBulletin 01, no. 01 (2023): 27–33. http://dx.doi.org/10.61925/swb.2023.1105.

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The sun is an abundant and powerful renewable energy resource that plays a crucial role in sustainable energy production. With efficient power generation in mind, here is a system designed to make intelligent judgements based on a condition so that the solar panel is always tilted towards the maximum sunlight. The hybrid intelligent cross-axis solar power tracking system is built using the microcontroller, light sensors, solar panel, and motors. Here, there are two methods used namely, the Sun Position Algorithm and the other is using the sensors. The algorithm uses the azimuth angle and the s

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33

Xiaokaiti, Maihebubai, Junqiang Jia, and Lina Yang. "Intelligent Fault Identification System Integrating Artificial Intelligence and Power Big Data." Procedia Computer Science 261 (2025): 313–19. https://doi.org/10.1016/j.procs.2025.04.209.

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Sun, Yao, Zhijian Wang, Yao Huang, et al. "The Evolving Technological Framework and Emerging Trends in Electrical Intelligence within Nuclear Power Facilities." Processes 12, no. 7 (2024): 1374. http://dx.doi.org/10.3390/pr12071374.

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This paper thoroughly explores the feasibility of integrating a variety of intelligent electrical equipment and smart maintenance technologies within nuclear power plants to enhance the currently limited level of intelligence of these systems and better support operational and maintenance tasks. Initially, this paper outlines the demands and challenges of intelligent electrical systems in nuclear power plants, highlighting the current state of development of intelligent electrical systems, including new applications of artificial intelligence and big data technologies in power grid companies,

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35

Yang, C.-J., J.-F. Zhang, Y. Chen, Y.-M. Dong, and Y. Zhang. "A Review of exoskeleton-type systems and their key technologies." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 222, no. 8 (2008): 1599–612. http://dx.doi.org/10.1243/09544062jmes936.

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The exoskeleton-type system is a brand new type of man—machine intelligent system. It fully combines human intelligence and machine power so that machine intelligence and human operator's power are both enhanced. Therefore, it achieves a high-level performance that neither could separately. This paper describes the basic exoskeleton concepts from biological system to man—machine intelligent systems. It is followed by an overview of the development history of exoskeleton-type systems and their two main applications in teleoperation and human power augmentation. Besides the key technologies in e

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36

Jerome, Jovitha, and P. Vinoth. "ARTIFICIAL INTELLIGENT SYSTEM FOR MEASUREMENT OF HARMONIC POWERS." ASEAN Journal on Science and Technology for Development 25, no. 1 (2017): 47–59. http://dx.doi.org/10.29037/ajstd.230.

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The importance of the electric power quality (PQ) demands new methodologies and measurement tools in the power industry for the analysis and measurement of the basic electric magnitudes necessary. This paper presents a new measurement procedure based on neural networks for the estimation of harmonic amplitudes of current/voltage and respective harmonic powers. The measurement scheme is built with two neural network modules. The first module is an adaptive linear neuron (ADALINE) that is the kernel part of estimation of complex harmonic coefficients of the current/voltage. The second module is

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37

Shen, Runjie, Yiying Wang, Ming Ma, Qiang Zhou, Qingquan Lyu, and Jianmei Zhang. "Application of Digital Twin Technology in Auxiliary Decision-making System for Grid-connected Dispatching of New Energy." Journal of Physics: Conference Series 2202, no. 1 (2022): 012045. http://dx.doi.org/10.1088/1742-6596/2202/1/012045.

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Abstract Digital twin is the digital expression of physical entities. With the further development of big data and artificial intelligence technology, many fields are actively promoting the digital transformation of industries. As the key area of Chinese infrastructure to promote clean coal production and efficient green transformation, using the digital twin technology to promote the overall perception of new energy power stations, intelligent decision-making and dynamic prediction has become a new research hotspot. Through the intelligent acquisition in the perception layer, intelligent inte

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Wei, YongHui, KeYu Zhao, XueQiang Lv, et al. "Research on Intelligent Embedded Fan System Based on YOLOv2 Lightweight Algorithm." Computational Intelligence and Neuroscience 2022 (July 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3484268.

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With the development of artificial intelligence, the application of intelligent algorithms to low-power embedded chips has become a new research topic today. Based on this, this study optimizes the YOLOv2 algorithm by tailoring and successfully deploys it on the K210 chip to train the face object detection algorithm model separately. The intelligent fan with YOLOv2 model deployed in K210 chip can detect the target of the character and obtain the position and size of the character in the machine coordinates. Based on the obtained information of character coordinate position and size, the fan's

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Liu, Xu Sheng, Ying He, Fu Chun Zhang, Guang Hua Yan, and Run Ze Wu. "Design of Interactive Intelligent Family Utilization System in Smart Grid." Advanced Materials Research 756-759 (September 2013): 4471–75. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.4471.

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Intelligent power utilization is an important part in the construction of smart grid, its outstanding characteristic is interaction between power grid and demand side. Based on the demand of family intelligent power utilization, this paper analyzes the significance of bilateral interaction system construction, proposes the design scheme of interactive family intelligent power utilization system to satisfy the users various and individual demands, designs intelligent display client software. The system integrating power flow, information flow and business flow is established in order to support

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40

Ifeanyi, Chukwuagu M., Ogbu Gregory, and Chukwu Linus. "Improving Cyber Security in Power Systems and Substation Automation Using Intelligent Based System." American Journal of Multidisciplinary Research and Innovation 4, no. 4 (2025): 47–63. https://doi.org/10.54536/ajmri.v4i4.4823.

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The constant failure in cyber security in power systems and substation automation that has crippled business activities that mostly depend on power to run their routine activities are caused by Lack of Adequate Security Measures, Human Error, Outdated Software and Hardware, Insufficient Training and Awareness, Insider Threats, Weak Access Control Mechanisms, Inadequate Network Segmentation, Failure to Patch Vulnerabilities, Complexity of the System, Third-Party Vendor Risks and Denial of Service (DoS) Vulnerabilities. This is surmounted by introducing improved cyber security in power systems a

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Pande, Abhijit S., and Prakash G. Burade. "Intelligent Power Dispatch Optimization: A Genetic Algorithm Approach with Unified Power Flow Controller." Indian Journal Of Science And Technology 18, no. 11 (2025): 891–903. https://doi.org/10.17485/ijst/v18i11.3709.

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Objective: The goal of this project is to provide an advanced optimization approach for Dynamic Power Dispatch (DPD) by combining a Unified Power Flow Controller (UPFC) with a Genetic Algorithm (GA). The main objective is to improve power flow management and grid performance in complicated power networks. Methodology: The suggested method takes advantage of the capabilities of the UPFC, a versatile component of the Flexible AC Transmission System (FACTS), and combines them with the optimization power of GA. The UPFC provides close oversight over power flow, voltage ranges, and phase angles, wh

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Garkushin, A. A., V. V. Krishtop, S. A. Storozhev, et al. "Intelligent Power Supply System with Power Transmission via Optical Fiber." Bulletin of the Russian Academy of Sciences: Physics 88, no. 6 (2024): 986–90. http://dx.doi.org/10.1134/s1062873824706950.

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43

Liu, Tao, Shaocheng Wu, Yue Ma, Jie Zhao, and Hefang Jiang. "Intelligent Test Platform for Power Metering System Software." Journal of Physics: Conference Series 2095, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1742-6596/2095/1/012022.

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Abstract In order to meet the requirements of the operation and maintenance personnel for the power metering system software, when updating the software version, they can independently, quickly and effectively control the quality of the software, an intelligent test platform is designed. Based on the platform, the software operation and maintenance personnel can simply select the corresponding records from the test scripts, test cases and automatic test tools in database debugged by the third-party test team, create the test plan, click the execute button, the platform will automatically conne

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Hu, Wenjian, Yang Yang, Baoan Liu, Siyan Guo, and Kuizhong Zhang. "Power Grid Intelligent Energy Dispatching Interactive System Based on Virtual Reality Technology." International Transactions on Electrical Energy Systems 2022 (September 14, 2022): 1–8. http://dx.doi.org/10.1155/2022/8008461.

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Objective. In order to improve the intelligence of power grid energy dispatching, this study proposes an interactive system of power grid intelligent energy dispatch based on virtual reality technology. Through the introduction of the main functions of the intelligent energy dispatching visualization system and the analysis of the construction of software and hardware, as well as the application of the actual power energy dispatching real-time operation visualization system, the system is described in detail and applied. The application results show that since the application of the system, th

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45

Satpute, Ms Bhumika Vasant, Ms Dhanlaxmi Balavant Don, Ms Rakhi Ajaykumar Salave, Ms Abrar Zameer Shaikh, and Prof Akash K. Gunjal. "Intelligent Transportation System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 4560–69. http://dx.doi.org/10.22214/ijraset.2022.43354.

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Abstract: People have experienced frequent communication and information exchange in recent years as a result of the proliferation of mobile devices. For example, when people go on vacations, it is common for each person to bring a smart phone with them to get information about nearby attractions. When a user visits a location, the application will provide useful information based on the user's current location preferences and previous visits to locations and their traffic signs. This new feature of map will learn your preferences and will display traffic signs in the area this system would di

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M, Rahul. "Intelligent Packaging System." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1761–808. http://dx.doi.org/10.22214/ijraset.2023.56921.

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Abstract: Ecommerce, also known as electronic commerce refers to the buying and selling of various goods and services online. In the recent days the word “Ecommerce “has become very familiar due to the internet boom and due to the kind of comfort (and other services) it provides to its users. Many companies have either established their business or have increased their profits with the help of Ecommerce. There are various studies which show that there is an exponential increase in the Ecommerce sales and services and it is very much evident that it will reach new heights in the upcoming years.

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Liu, Yun Jing, and Feng Wen Wang. "The Application of Artificial Intelligence in Power System State Estimation with Intelligent Materials." Advanced Materials Research 485 (February 2012): 131–35. http://dx.doi.org/10.4028/www.scientific.net/amr.485.131.

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With the development of power systems, the problem of security, stability and economics has become increasingly important. Reliable real-time data base is the foundation of analysis of the systems security and stability. Power system state estimation is used to build reliable real-time model of the power network. It has the on-line security analysis function. Power systems are large, complex systems containing highly nonlinear components. Therefore, traditional approaches often have difficulties in finding the optimal solution efficiently. Artificial intelligence techniques are being applied t

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Hu, Zhiyong. "Power Grid Planning and Dynamic Intelligent Management System Construction Based on Operation Simulation." Journal of Physics: Conference Series 2143, no. 1 (2021): 012015. http://dx.doi.org/10.1088/1742-6596/2143/1/012015.

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Abstract The operation simulation system of the power grid is a complex and huge dynamic model, and its establishment and management are of great significance in power enterprises. The intelligence of the power grid is to manage the power system through computer technology, so that it can provide users with high-quality, convenient, safe, reliable and high-efficiency services. To this end, this article is based on operating simulation experiments to construct a power grid planning and dynamic intelligent management system. The purpose is to provide people with a fast and accurate power managem

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Amjad, Khan, Ullah Kaleem, and Muhammad Naeem Arbaab Dr. "Designing and Simulation Analysis of Power management (Power Monitoring and Power Distribution) and Automatic System through Wireless communication." International Journal of Engineering Works (ISSN:2409-2770) 4, no. 1 (2017): 29–32. https://doi.org/10.5281/zenodo.268412.

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This Paper presents the basic concept and methodology of smart grid, intelligent load management, intelligent load shedding, theft control, and automatic monitoring through wireless communication using Zigbee module. We have three main units in our project main server, intelligent terminal, local controller. The main server is used to monitor the load and distribute the load according to the requirement of the local controller. The intelligent terminal unit (I.T.U) is a customized unit that is used to distribute the load to the local controller. The local controller is used to monitor and stor

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Lee, Heungjae, Wonkun Yu, Junghyun Oh, Hyungsuk Kim, and Jinyoung Kim. "Development of an Intelligent Voltage Control System for Bulk Power Systems." Applied Sciences 11, no. 19 (2021): 9233. http://dx.doi.org/10.3390/app11199233.

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As modern power systems become large and complicated, an automated voltage and reactive power control system is required in most developed countries due to the remarkable recent progress in computer networks and information technology. To date, voltage control has depended on human operators in the Korean power system. Accordingly, this paper proposes a universal intelligent voltage control system for bulk power systems based on sensitivity analysis and a main expert system. A detailed state space modeling technique is discussed, and an effective performance index is proposed to accelerate the

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