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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

共 7523 条记录，以下是101-110 订阅

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Critical events/Moments Identification Method for Power System Transient Stability Analysis 3

Critical Events/Moments Identification Method for Power Syst...

引用

3rd international conference on energy and electrical Power Systems (ICeePS)

作者： Zhou, Jiayang Bait, Shibin Zheng, Liang Tian, Zhihao Sun, Zelun Zhang, Jiabin Yang, Songhao Xi An Jiao Tong Univ Sch Elect Engn Xian Peoples R China State Grid Ningxia Elect Power Co Ltd Yinchuan Ningxia Peoples R China NARI Grp Corp State Grid Elect Power Res Inst Nanjing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The continuous integration of renewable energy generation (ReG) into power systems has increased the complexity of their transient characteristics. This complexity is manifested in the coupling and transition of various transient stability issues, typically driven by critical events such as grid-disconnection of ReG and DC communication failures. existing methods for analyzing individual transient stability issues are inadequate to handle such complex scenarios. In response to this problem, this paper proposes a method for identifying critical events/moments for transient stability analysis. Firstly, evaluation metrics for different stability issues are introduced, establishing a quantitative evaluation scheme for transient stability. Secondly, criteria for identifying the dominant stability issue of the system are provided, and a scheme for identifying critical events and moments is proposed. Finally, the effectiveness of the proposed method is validated through an improved ieee 39-bus system.

关键词： critical events/moments transient stability cascading failure simulation renewable energy grid-disconnection DC blocking

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Scheduling Policies in edge computing for Real-Time Video Analytics 3

Scheduling Policies in Edge Computing for Real-Time Video An...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Shreevatsan, S.S. Annambhotla, Yasasree Lasya Reji, Anaswara Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This study compares different scheduling algorithms used in edge computing for real-time video processing. Instead of sending video data to cloud servers, the video is processed directly at the edge, reducing delays and saving bandwidth. The focus is on how different scheduling methods manage resources, prioritize tasks, and reduce the time it takes to analyze video. The algorithms are tested in simulated environments to understand how they impact system efficiency and performance. The goal of this work is to find the best scheduling policies for real-time video processing at the edge, improving overall system performance and scalability. © 2025 ieee.

关键词： Scheduling algorithms

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Distributed Generation Planning for Improving Self-healing Ability of Distribution Network 3

Distributed Generation Planning for Improving Self-healing A...

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3rd international conference on energy and electrical Power Systems (ICeePS)

作者： Li, Haobin Tan, Huijuan Lin, Yueting Chen, Zhiwei Pan, Ziheng Hu, Bo Guangdong Power Grid Co Ltd Elect Power Dispatching & Control Ctr Guangzhou 510600 Peoples R China Chongqing Univ State Key Lab Power Transmiss Equipment & Syst Se Chongqing 400044 Peoples R China

ISBN: (纸本)9798350375145;9798350375138

With a large number of Distributed Generation (DG) connected to the distribution network, the distribution network can be reconstructed and isolated island partition for self-healing. In this paper, the two-layer configuration DG operation-planning joint optimization model for improving self-healing ability of distribution network is established to achieve economy and self-healing ability of the system. ieee 33-node system is used to verify the proposed model. The results show that the two-layer model can effectively coordinate the economy and self-healing ability of distribution network through interactive decision-making of DG allocation scheme.

关键词： Self-healing ability distributed generation optimal planning distribution network

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A single-class attack detection algorithm for smart grid AGC system based on improved support vector machines algorithm 24

A single-class attack detection algorithm for smart grid AGC...

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3rd international conference on Cyber Security, Artificial Intelligence and Digital economy (CSAIDe)

作者： Tao, Jiaye Hong, Chao Fu, Yun Yang, Yiwei Wei, Lipeng Liang, Zhihong Liu, Junrong Informat Ctr Guizhou Power Grid Co Guiyang 550000 Guizhou Peoples R China China Southern Power Grid Elect Power Res Inst Guangzhou 510080 Guangdong Peoples R China Guangdong Prov Key Lab Power Syst Network Secur Guangzhou 510700 Guangdong Peoples R China

ISBN: (纸本)9798400718212

Automatic generation control (AGC) system is an important part of modern power systems which faces the threat of cyber attacks. For the detection of cyber attacks on the AGC system, a single-class attack detection method based on an improved support vector machines (SVM) algorithm is proposed. This algorithm first uses a SVM-recursive feature elimination (SVM-RFe) method to reduce feature dimensionality of sample data points, obtaining the optimal feature subset. Then, time difference is used to expand the data dimensionality and model the dynamic information of the system based on SVM algorithm. Simulation verification is conducted based on the ieee 39-bus model, and the results show that the proposed algorithm has good detection performance.

关键词： automatic generation control support vector machines attack detection smart grid

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enhancement of Containerization-based Cloud computing Performance using Hybrid Metaheuristic Optimization Algorithm: A Review 3

Enhancement of Containerization-based Cloud Computing Perfor...

引用

3rd international conference on electronics and Renewable Systems, ICeARS 2025

作者： Ramasamy, G. Kamalakkannan, S. Vels Institute of Science Technology & Advanced Studies Department of Computer Science School of Computing Sciences Pallavaram Chennai India Vels Institute of Science Technology & Advanced Studies Department of Information Technology School of Computing Sciences Pallavaram Chennai India

ISBN: (纸本)9798331509675

Container-based virtualisation has become a cornerstone of Cloud computing (CC) due to its lightweight and scalable properties when compared to traditional virtual machines. However, it is still difficult to optimising resource allocation in containerised systems, and current approaches frequently fall short in addressing problems like high computational costs, scalability, cold-start scenarios, and Graphics Processing Unit (GPU) management. Container resource allocation is critical for effectively managing computing workloads in cloud settings, enabling scalability, performance optimization, and cost effectiveness. It is extensively used in a various industry, including e-commerce, healthcare, and finance, where dynamic workloads call for efficient resource management. Traditional resource allocation techniques, while their importance, frequently face difficulties such as unequal load distribution and resource underutilization. To address these constraints, this paper suggests a hybrid metaheuristic optimization algorithm that addresses limitations such as network distance, execution time, and migration costs to provide balanced load distribution. This study attempts to analyse the efficiency, time consumption and latency of resource allocation in dynamic cloud systems by addressing existing limitations. © 2025 ieee.

关键词： Cloud platforms

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Research on the Method of Balancing electricity Quantity in Rural New Power grid 3

Research on the Method of Balancing Electricity Quantity in ...

引用

3rd international conference on Smart grids and energy Systems, SGeS 2024

作者： Cai, Xuan Luo, Heng Cao, Kan Tan, Daojun State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan China

ISBN: (纸本)9798331539634

With the proposal of the national goal of "carbon neutrality and peak carbon emissions", the proportion of new energy connected to the power grid is increasing, and the power balance characteristics of the power system have undergone significant changes. Compared with urban distribution networks, rural power grids have the characteristics of distributed wind and solar energy storage, long power supply radius, long distance, high line losses, and low reliability. The paper constructs a new rural power grid power balance model that includes wind, solar, storage, and load, and proposes a power balance calculation method based on particle swarm optimization algorithm. The experimental results show that the model and method proposed in the paper have achieved good power and energy balance effects. It can effectively reduce the abandoned electricity and system disturbance of new energy. © 2024 ieee.

关键词： component new energy particle swarm optimization power balance rural new power grid

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Research on Mid-Platform Scenario Operation and Maintenance System of Computer Cloud Platform Based on enhanced Risk Prevention 3

Research on Mid-Platform Scenario Operation and Maintenance ...

引用

2023 ieee 3rd international conference on Data science and Computer Application, ICDSCA 2023

作者： Helin, Zhang Zhiwei, Zheng Dewei, Lin Rui, Chen Qinghai, Lei Information and Communication Branch of State Grid Fujian Electric Power Co. Ltd Fujian Fuzhou350001 China State Grid Info-Telecom Great Power Science and Technology Co. Ltd. Fujian Fuzhou China

ISBN: (纸本)9798350341546

It adopts micro-service architecture to create a safe, efficient and agile intelligent operation and maintenance integrated service platform. The system has the functions of low voltage topology recognition, intelligent anomaly research, accurate automatic order sending, auxiliary power grid planning and so on. Combined with some classical theories of situational awareness model, a situational awareness algorithm model based on improved fuzzy clustering algorithm is established. The overall operation and maintenance service platform builds the operation and maintenance service system based on the cloud computing and middle-desk architecture to realize the unified standardization and integration of the whole-domain management resource data. A trial of the system in a power company showed a 0.3% drop in the error rate. © 2023 ieee.

关键词： Cloud Platform Computer Operation and Maintenance System Power Center Service Risk Prevention and Control

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Strategic Integration of Blockchain Technology to establish a Robust and Secure e-Voting System 3

Strategic Integration of Blockchain Technology to Establish ...

引用

3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Abhigyan, Ayush Ghosh, Soham Brindha, R. Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chengalpattu India

ISBN: (纸本)9798350375190

Voting stands as a fundamental right of democracy, granting citizens the right to select leaders and express their voices. Online voting systems, replacing traditional paper ballots, not only enhance efficiency and minimize errors but also facilitate convenient remote voting while guarding against fraudulent practices, thereby enhancing the trust and safety of electoral process. Integrating blockchain technology in electronic voting represents a promising solution. The decentralized and immutable nature of blockchain holds the potential to eliminate existing concerns in e-voting, including issues related to tampering, hacking, and data security breaches. By leveraging blockchain, this study can establish a transparent and trustless system, where every vote is securely recorded and verifiable, ensuring the integrity of the electoral process. This study implements a blockchain-based voting system to combat fraud, streamline procedures, and strengthen the overall security and efficiency of the voting process by ultimately strengthening the foundation of democracy and empowering citizens to participate confidently in shaping their collective future. © 2024 ieee.

关键词： Blockchain

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Resource Scheduling of High-Performance computing Clusters based on the Combination of Ant Colony Algorithm and Active Caching Strategy 3

Resource Scheduling of High-Performance Computing Clusters b...

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3rd international conference on Cloud computing, Big Data Application and Software engineering, CBASe 2024

作者： Bai, Xuemei Zhou, Jingbo Wang, Zhijun School of Electronic Information Engineering Changchun University of Science and Technology Changchun130012 China School of Coumputer Science and Technology Changchun Normal University Changchun130123 China

ISBN: (纸本)9798331506582

In recent years, the HPC cluster has developed rapidly and has become an important tool to solve large-scale and complex computing problems. However, in a cluster environment, how to efficiently schedule HPC cluster resources has become a problem worthy of attention. Based on this, this paper proposes a scheduling strategy that integrates the ant colony algorithm and active cache to minimize resource scheduling time and maximize resource utilization. Simulation results show that compared with the ant colony algorithm, the new strategy proposed in this paper can improve the efficiency of resource scheduling, significantly reduce the scheduling time, greatly improve the resource utilization rate, and significantly reduce the job loss rate. © 2024 ieee.

关键词： Scheduling algorithms

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Smart grid Resource Scheduling Algorithm Based on Reinforcement Learning for edge computing 3

Smart Grid Resource Scheduling Algorithm Based on Reinforcem...

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3rd international Symposium on Computer Technology and Information science, ISCTIS 2023

作者： Zhao, Ran Mao, Jiaming Yu, Jinghang Fan, Lei Information and Telecommunication Branch State Grid Jiangsu Electric Power Co. Ltd. Nanjing210024 China

ISBN: (纸本)9798350325386

Smart grid is a power system that enables intelligent management and optimization. Network virtualization technology can effectively improve the resource utilization and reliability of smart grid and meet the differentiated needs of different users. In the case of limited resources, traditional virtual network mapping algorithms cannot dynamically adjust the allocation and mapping of virtualized resources based on the resource usage and user demands of the power system. To address this issue, we combined edge computing and virtualization technology, and introduced a reinforcement learning-based virtual network resource scheduling algorithm. Simulation results show that our virtual resource scheduling algorithm performs better than the other three scheduling algorithms in improving the reliability and resource utilization of the power grid. © 2023 ieee.

关键词： edge computing

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