2023 5th International Conference on Electronic Engineering and Informatics (EEI)最新文献_第7页

Distribution network fault work order prediction based on improved LSTNet 基于改进LSTNet的配电网故障工单预测

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212894

Yaxi Yang, Ying Shi, Yonghao Bian, Xinyu Long, Yu Shi, Zemin Wang

{"title":"Distribution network fault work order prediction based on improved LSTNet","authors":"Yaxi Yang, Ying Shi, Yonghao Bian, Xinyu Long, Yu Shi, Zemin Wang","doi":"10.1109/EEI59236.2023.10212894","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212894","url":null,"abstract":"The fault work order data of the distribution network can reflect the operation status of the network, and predicting the future number of work orders can provide data support for the maintenance of the network operation. Fault work order data is a time series with non-linear characteristics, which is influenced by meteorological factors and has a high feature dimension. In this paper, an improved LSTN t network is used to build a fault work order prediction model with multi-form outputs, and a residual connection strategy is introduced to address the gradient disappearance problem of the model in practical application scenarios. At the same time, an attention mechanism is introduced to improve the learning ability of the model for critical information. The experimental results prove that the RMSE and MAE of the proposed model are 12.266 and 8.087, and the AUC is 0.932, which is better than other machine learning and deep learning algorithms. The fault work order prediction algorithm in this paper can meet the application requirements in terms of prediction accuracy and speed.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"9 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126093217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of the Scientific and Technological Information Management Software 科技信息管理软件的设计

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212809

Yongling Guo, Guoxing Li, Guowang Zhang

{"title":"Design of the Scientific and Technological Information Management Software","authors":"Yongling Guo, Guoxing Li, Guowang Zhang","doi":"10.1109/EEI59236.2023.10212809","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212809","url":null,"abstract":"According to the requirement of improving the efficiency of scientific and technological information management in the flight test laboratory by informatization, combining the characteristics of scientific and technological information management elements, the minimization metadata set of scientific and technological information management elements was analyzed and constructed, and the scientific and technological information management database was designed. Combined with the application environment of information management software, the compression interface based on 7z open source library is designed to ensure the usability and reliability of the software. The standardized data import template based on spreadsheet and database information backup interface based on xml is designed to improve the efficiency of data entry and ensure the stability of software. Using C/S architecture of software design ideas, that realizes efficient management of the scientific and technological information. Practice shows that the software can well meet the requirements of laboratory for basic management efficiency.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122346133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on straightness detection algorithm of guide rail based on laser 基于激光的导轨直线度检测算法研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212897

Ruixiang Gao, Hefei Fang, Ying Su

引用次数: 0

Edge Computing Based Traffic Identification in Elastic Optical Networks for Smart Power Grid 基于边缘计算的智能电网弹性光网络流量识别

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212963

Zhiang Du, Xiukun Pang

引用次数: 0

Research on improvement of low voltage crossing of isolated island permanent magnet wind turbine 孤岛式永磁风力发电机低压交叉改进研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212631

Zhixian Jiang, Wenna Zheng, Jinquan Zhao

引用次数: 0

Design of Data Receiving System of DC Electric Device Based on MATLAB 基于MATLAB的直流电气装置数据接收系统设计

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212437

Xinyue Wang, Yongheng Zhang, Yujin Huang

引用次数: 0

Multi-Entity Interactive Operation Strategy of Vehicle-Station-Net Driven by Intelligent Network Data Fusion 智能网数据融合驱动的车站网多实体交互运营策略

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212450

Jun Hu, Yucheng Hou, Shaotang Cai, Shuoqi Ma

{"title":"Multi-Entity Interactive Operation Strategy of Vehicle-Station-Net Driven by Intelligent Network Data Fusion","authors":"Jun Hu, Yucheng Hou, Shaotang Cai, Shuoqi Ma","doi":"10.1109/EEI59236.2023.10212450","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212450","url":null,"abstract":"The electric vehicle charging behavior involves multiple subjects such as traffic and charging stations, and contains a large number of uncertainty factors, such as uncertainty of traffic road conditions and uncertainty of queuing time at charging stations, resulting in a strong uncertainty of electric vehicle charging behavior. In order to better deal with these stochastic variables, firstly, a reasonable charging tariff is formulated by the method of cooperative game of multiple subjects to satisfy the charging station operator side, and the grid side optimal revenue decision. Secondly, for the EV charging guidance method considering charging tariff and the optimal scheduling strategy of charging stations on EV charging behavior, this paper adopts Reinforcement Learning (RL) method. Finally, experimental simulations are conducted to validate the proposed algorithm with a certain number of typical charging stations in each administrative region of Tianjin, and the realized results verify that the proposed algorithm can significantly reduce the peak load value of EV centralized charging, reduce the impact of large-scale EV charging on the grid, and effectively improve the utilization rate of the grid and charging facilities.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124394323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint User Association and Resource Optimization for Multi-Cell NOMA Networks 多小区NOMA网络的联合用户关联与资源优化

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212880

Dacai Wei, Fei Du, Jiayan Liu, Xiongwen Zhao

{"title":"Joint User Association and Resource Optimization for Multi-Cell NOMA Networks","authors":"Dacai Wei, Fei Du, Jiayan Liu, Xiongwen Zhao","doi":"10.1109/EEI59236.2023.10212880","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212880","url":null,"abstract":"In multi-cell networks, resource management becomes exceedingly complex as network density rises. Therefore, it is necessary to devise effective and low-complexity algorithms for resource management in multi-cell networks. This paper investigated the joint optimization problem of user association and resource optimization to improve the sum rate in multi-cell non-orthogonal multiple access (NOMA) networks. The problem is decomposed into three sub-problems. To address the coupling problem between user association and channel allocation, an iterative based method is employed. Firstly, the user association problem is addressed by proposed sum rate maximization matching (SRMM) algorithm. Then, the channel allocation problem is resolved by developed hypergraph coloring (HC) algorithm. After achieving convergence by iteratively solving the coupling problems, the power allocation problem is converted into an easily solved convex problem. Numerical results clarify that the proposed algorithm presents superior performance compared to both orthogonal multiple access (OMA) algorithm and signal-to-interference-plus-noise ratio maximization user association (SINRM-VA) algorithm.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115512904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Device Association and Trajectory Optimization for Multi-UAV Enabled Power Transmission and Distribution Scenarios 多无人机输配电联合设备关联与轨迹优化

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212838

Haoran Sun, S. Geng, Jiayan Liu, Zhiyu Chen, Hongxi Zhou, Xiongwen Zhao

{"title":"Joint Device Association and Trajectory Optimization for Multi-UAV Enabled Power Transmission and Distribution Scenarios","authors":"Haoran Sun, S. Geng, Jiayan Liu, Zhiyu Chen, Hongxi Zhou, Xiongwen Zhao","doi":"10.1109/EEI59236.2023.10212838","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212838","url":null,"abstract":"With the comprehensive deployment of smart grid equipment, more and more data are generated, which needs to develop effective solutions to improve energy efficiency optimization for power transmission and distribution scenarios. In this paper, energy efficiency of multi-unmanned aerial vehicle (UAV) enabled power transmission and distribution system is studied. The UAVs are dispatched as a data relay to forward data to cloud server center on the satellite to aid communication from the power transmission and distribution devices (PDs). The multi-UAV and multi-device of the transmission and distribution scenario of the system are considered. Moreover, by optimizing multi-device scheduling and association, combined with UAV flight trajectory to maximize system energy efficiency for all ground devices are investigated. As the problem is a mixed integer non-convex problem, we use block coordinate descent to decompose the problem into two solvable sub-problems, device association and UAV trajectory, and solve them optimally alternatively. The results show that the proposed algorithm effectively improves the system energy efficiency compared with other algorithms.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parameter Estimation of LFM Signal Intercepted by Synchronous Nyquist Folding Receiver Based on Instantaneous Autocorrelation 基于瞬时自相关的同步奈奎斯特折叠接收机截获LFM信号参数估计

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212590

Xinqun Liu, Jiajun Bai, Jinlin Peng

引用次数: 0