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检索条件"机构=Grid Laboratory of Grid Advanced Computing and Applications"
144 条 记 录,以下是31-40 订阅
Transformer multimodal data and knowledge encoding method based on attention model  2
Transformer multimodal data and knowledge encoding method ba...
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2nd International Conference on Electrical, Electronics, and Information Engineering, EEIE 2023
作者: Zhang, Peng Zhang, Guoliang Fan, Xiaoyu Gan, Jinrui Wu, Peng Zhou, Fei Lv, Shunli Chen, Long Liu, Xin State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China NARI Group Corporation State Grid Electric Power Research Institute Nanjing215200 China State Grid Anhui Electric Power Co. Ltd. Hefei230061 China
Transformers are key hub equipment in the power system, and their operation reliability is directly related to the stability of the power grid. In order to ensure the safe and stable operation of the transformer, moni... 详细信息
来源: 评论
Graph computing applications In Unit Commitment Historical Data Management
Graph Computing Applications In Unit Commitment Historical D...
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2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023
作者: Wang, Yishen Zhou, Fei Zhu, Hong Liu, Siyan Tang, Zhuang Yang, He State Grid Laboratory of Grid Advanced Computing and Applications Beijing China State Grid Smart Grid Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China
The development of new types of power systems poses several key challenges for super-large-scale online analysis and optimization. These challenges include data merging, computation performance, and operation optimiza... 详细信息
来源: 评论
Towards Efficient and Privacy-Preserving Hierarchical Federated Learning for Distributed Edge Network  5th
Towards Efficient and Privacy-Preserving Hierarchical Federa...
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5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023
作者: An, Ningyu Liang, Xiao Zhou, Fei Wang, Xiaohui Li, Zihan Feng, Jia Guan, Zhitao State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co.Ltd Beijing100209 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China State Grid Zhejiang Electric Power Company.Ltd Hangzhou310007 China
Federated learning is a promising paradigm that utilizes widely distributed devices to jointly train a machine learning model while maintaining privacy. However, when oriented to distributed resource-constrained edge ... 详细信息
来源: 评论
Pre-trained Language Model for Chinese Frame Semantic Parsing based on Electric Power Dataset  4
Pre-trained Language Model for Chinese Frame Semantic Parsin...
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4th International Conference on Computer, Big Data and Artificial Intelligence, ICCBD+AI 2023
作者: Wang, Xiaohui Liang, Yundan Gui, Chenwei Wang, Boya Wang, Gaozhou State Grid Laboratory of Grid Advanced Computing and Applications Beijing China State Grid Corporation of China Beijing China University of International Relations Lab of Intelligent Social Computing Beijing China State Grid Shandong Electric Power Company Information and Telecommunications Company Shandong China
In the operational landscape of the electric power industry, a wealth of events, operations, and fault reports generates substantial textual data. The application of frame semantic parsing to the power grid system pre... 详细信息
来源: 评论
A Multimodal Named Entity Recognition Model for Power Equipment Based on Deep Neural Network  3
A Multimodal Named Entity Recognition Model for Power Equipm...
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3rd International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2023
作者: Zhang, Qiang Song, Bochuan Zhao, Changwei Liu, Tongyang Zhang, Fengda Li, Zhuangzhuang State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing China State Grid Anhui Electric Power Research Institute Anhui China State Grid Shandong Electric Power Research Institute Jinan China
Digital empowerment of China's power energy sector is a key factor in increasing its economic and social benefits, and named entity recognition technology is the most fundamental and core task of information extra... 详细信息
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Information Semantic Mining Method for Risk Warning Scenarios of Electric Power Field Operations  23
Information Semantic Mining Method for Risk Warning Scenario...
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Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture
作者: Zongbo Chu Wei Wei Yi Zhang Zexu Du State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute co.Ltd China
Risk management and control of on-site power operations is an important link in the power production process. Traditional methods that rely on manual execution of safety rules lack proactive prevention and control cap...
来源: 评论
Research on communication mechanism optimization based on distributed graph computing environment  23
Research on communication mechanism optimization based on di...
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Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management
作者: Jianchao Lin Chunna Cao Chunhui Ren State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd China
In recent years, with the rapid development of the Internet of Things, the Internet, and social networks, the storage of data in the network is growing at an explosive rate and is becoming more and more closely relate...
来源: 评论
Power Transformer Health State Prediction Based on Multi-attention Coupling Learning  6
Power Transformer Health State Prediction Based on Multi-att...
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6th IEEE International Electrical and Energy Conference, CIEEC 2023
作者: Zhang, Peng Gan, Jinrui Wu, Chunpeng Wu, Peng Qi, Bo Zhou, Fei State Grid Smart Grid Research Institute Co. Ltd. State Grid Laboratory of Grid Advanced Computing and Applications Beijing102209 China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China
Transformer is the key apparatus of the power system, and its operational reliability is directly related to the stability of the power grid. Accurately predicting the future health state of transformers can reserve e... 详细信息
来源: 评论
Enhancing Data Consistency in Distribution Networks Leveraging Graph Contrastive Representation Learning
Enhancing Data Consistency in Distribution Networks Leveragi...
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International Conference on Power and Energy Technology (ICPET)
作者: Siyan Liu Danni Shi Zhuang Tang State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co.Ltd. Beijing China
The rapid integration of distributed renewable energy sources and the diversification of loads have precipitated profound changes in the configuration and operation of power distribution networks in the 21st century, ... 详细信息
来源: 评论
A Short-term Net Load Forecasting Method Based on Two-stage Feature Selection and LightGBM with Hyperparameter Auto-Tuning  59
A Short-term Net Load Forecasting Method Based on Two-stage ...
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59th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2023
作者: Lei, Shuya Liang, Xiao Wang, Xiaohui Ding, Jingyang Ge, Xinxin Wang, Fei Feng, Jia State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing102209 China North China Electric Power University Department of Electrical Engineering Baoding071003 China State Grid Zhejiang Electric Power Company Ltd Hangzhou310007 China
Reliable short-term net load forecasting (STNLF) is important for the stable operation of power systems and assists utilities in unit commitment and demand side management. With the increasing penetration of invisible... 详细信息
来源: 评论