检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

15 篇 会议
1 篇 期刊文献

馆藏范围

16 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7 篇 工学
- 5 篇 电气工程
- 5 篇 计算机科学与技术...
- 3 篇 软件工程
- 2 篇 动力工程及工程热...
- 2 篇 电子科学与技术（可...
- 2 篇 信息与通信工程
- 1 篇 材料科学与工程（可...
- 1 篇 控制科学与工程
- 1 篇 建筑学
- 1 篇 土木工程
- 1 篇 石油与天然气工程
- 1 篇 交通运输工程
- 1 篇 环境科学与工程（可...
- 1 篇 安全科学与工程
- 1 篇 网络空间安全
2 篇 理学
- 1 篇 数学
- 1 篇 物理学
2 篇 管理学
- 2 篇 管理科学与工程(可...
- 1 篇 工商管理

主题

2 篇 power grids
2 篇 knowledge graph
1 篇 auxiliary decisi...
1 篇 objective functi...
1 篇 wind forecasting
1 篇 thermal engineer...
1 篇 deep learning
1 篇 simulation
1 篇 safety
1 篇 sensitivity
1 篇 faults
1 篇 electric power t...
1 篇 energy storage
1 篇 fault preplan
1 篇 multi-energy sto...
1 篇 electrical fault...
1 篇 algorithms
1 篇 real-time dispat...
1 篇 smart grids
1 篇 natural language...

机构

2 篇 department of re...
2 篇 east china branc...
2 篇 hainan power gri...
2 篇 hainan power gri...
2 篇 east china branc...
2 篇 nari technology ...
1 篇 francis xavier e...
1 篇 department of po...
1 篇 power grid dispa...
1 篇 planning review ...
1 篇 guangdong univer...
1 篇 chongqing univer...
1 篇 production techn...
1 篇 integral univers...
1 篇 russian academy ...
1 篇 south china univ...
1 篇 nari technology ...
1 篇 national electri...
1 篇 digital and comm...
1 篇 north china bran...

作者

2 篇 xiaobi teng
2 篇 wu pan
2 篇 qing kangping
2 篇 hongyu he
2 篇 kangping qing
2 篇 teng xiaobi
2 篇 pan wu
2 篇 xianliang teng
2 篇 he hongyu
1 篇 xin shan
1 篇 joshi puneet
1 篇 li lili
1 篇 zhu chuanpu
1 篇 chen jianping
1 篇 fu feng
1 篇 rongzhang cao
1 篇 zeng jiang
1 篇 hao zhang
1 篇 yin chaona
1 篇 cong li

语言

16 篇 英文

检索条件"机构=Power Grid Dispatching&Control Technology Branch Company"

共 16 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Auxiliary Decision technology and Application of power grid Fault Disposal Based on Knowledge Understanding of Fault Preplan 5

Auxiliary Decision Technology and Application of Power Grid ...

引用

5th International Conference on power and Renewable Energy, ICPRE 2020

作者： Bo, Wang Jian, Ning Mei, Dai Ze Yong, Zhang Shan, Xin Changming, Jiang Zhe, Zhang Tingxiang, Lu Yiming, Zheng NARI Group Corporation State Grid Electric Power Research Institute Power Grid Dispatching Control Technology Branch Company Nanjing China North China Branch of State Grid Corporation of China Power Grid Dispatching Control Center Beijing China

ISBN: (纸本)9781728190266

Combined with the characteristics of power grid fault disposal, auxiliary decision-making technology and implementation architecture of power grid fault disposal that based on knowledge understanding of fault preplan are proposed. Natural language processing technology is used to structurally extract key information of the fault disposal preplan. On this basis, a fault disposal knowledge graph is established. The method can realize the intelligent decision-making and disposal of faults by online retrieving, matching knowledge graph information of real-time faults, automatically extracting key information of fault disposal, and automatic analysis and control navigation of disposal task. The application example shows that the proposed method can realize information extraction, system mapping, knowledge retrieval and construction of fault disposal platform based on fault disposal preplan. This method can effectively reduce the fault disposal pressure and improve fault disposal efficiency and intelligent level. © 2020 IEEE.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Real-Time Dispatch Strategy Based on the Complementary Characteristics of Multiple Energy Storage Systems 16

Real-Time Dispatch Strategy Based on the Complementary Chara...

引用

16th IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2024

作者： Liu, Shiyang Teng, Xianliang Tan, Chao Li, Lili Department of research development center Nanri Group Co. Ltd Nanjing China Nanjing China Nanri Group Co. Ltd Department of power grid dispatching&control technology branch company Nanjing China

ISBN: (纸本)9798350386127

Real-time dispatch in power systems, as a key component of smart grid scheduling, plays a significant role in ensuring low-cost and low-pollution operation of power systems. To solve the instability introduced by the power grid integration of new energy generation, a multi-energy storage joint scheduling strategy based on new energy generation forecasting is proposed. An objective function that combines economic cost and pollution cost is designed, and the corresponding constraints are provided. The simulation results show that, compared to systems without energy storage systems or with only battery energy storage participating in the scheduling, the multi-energy storage joint scheduling system can significantly improve the economic benefits and environmental performance while ensuring system safety and stability. © 2024 IEEE.

关键词： multi-energy storage Real-time dispatch smart grid

来源：评论

学校读者我要写书评

暂无评论

Application of Decision Tree Model in Policy Effect Evaluation of Green Electricity Market 6

Application of Decision Tree Model in Policy Effect Evaluati...

引用

6th International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2024

作者： He, Hongyu Qing, Kangping Song, Bingbing Teng, Xiaobi Wu, Pan Ye, Haiqiang East China Branch of State Grid Corporation of China Shanghai200120 China NARI Technology Co. Ltd. Power Grid Dispatching & Control Technology Branch Company Jiangsu Nanjing210000 China

ISBN: (纸本)9781837242672

In recent years, the green electricity market has become a significant focus due to the increasing emphasis on sustainable development and carbon emission reduction. However, evaluating the effects of various policies in this market remains a challenge due to the complexity and dynamic nature of the factors involved. This paper presents a novel approach utilizing the decision tree model to assess the impact of different green electricity policies. The decision tree method effectively handles the non-linearity and heterogeneity present in the data. Experimental results demonstrate that this model provides valuable insights into policy effectiveness, outperforming traditional evaluation methods. The conclusions drawn from this analysis can guide future policy-making decisions aimed at optimizing green electricity market outcomes. © The Institution of Engineering & technology 2024.

关键词： Green development

来源：评论

学校读者我要写书评

暂无评论

Analysis and Prediction of Price Transfer Mechanism in Domestic Green Certificate Market Based on Convolutional Neural Network 6

Analysis and Prediction of Price Transfer Mechanism in Domes...

引用

6th International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2024

作者： Qing, Kangping Wang, Lifeng He, Hongyu Wu, Pan Teng, Xiaobi Guo, Congcong East China Branch of State Grid Corporation of China Shanghai200120 China NARI Technology Co. Ltd. Power Grid Dispatching & Control Technology Branch Company Jiangsu Nanjing210000 China

ISBN: (纸本)9781837242672

The purpose of this study is to explore the price transfer mechanism analysis and prediction of domestic green certificate market based on convolutional neural network. By using convolutional neural network, time series analysis and market economics methods, an innovative price transmission mechanism analysis and prediction model of domestic green certificate market is proposed, aiming to deeply understand the price transmission mechanism of green certificate market and forecast the price trend. The convolutional neural network method is used to study and analyze the historical price data of the domestic green certificate market in order to reveal the inherent law of the price transmission mechanism. Combined with the method of time series analysis, this paper analyzes the trend and periodicity of market price change, and provides reference for future price trend. Using the method of market economics, the factors such as supply and demand relationship and policy change in the green certificate market are comprehensively considered, and the price transmission mechanism is deeply interpreted and analyzed. Finally, the analysis and prediction of the price transfer mechanism of the domestic green certificate market based on convolutional neural network provides an important decision-making reference for green certificate market participants, and promotes the development and utilization of green energy. © The Institution of Engineering & technology 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Automatic detection method for single-phase grounding faults in power lines based on improved wavelet packet decomposition 3

Automatic detection method for single-phase grounding faults...

引用

3rd International Conference on Energy, power and Electrical technology, ICEPET 2024

作者： Zhu, Chuanpu Li, Cong Yin, Chaona Gu, Yubin Fu, Feng Hainan Power Grid Limited Liability Company Power Dispatching Control Center Hainan Haikou China Hainan Power Grid Limited Liability Company Information Communication Branch Hainan Haikou570203 China Hainan Power Grid Limited Liability Company Production Technology Department Hainan Haikou China

ISBN: (纸本)9798350352658

Traditional fault detection methods often struggle to achieve ideal detection results in complex and ever-changing power environments. To overcome this challenge, a method for automatic detection of single-phase grounding faults in power lines based on improved wavelet packet decomposition is proposed. The experimental results show that the automatic detection method based on improved wavelet packet decomposition has high sensitivity and accuracy in single-phase grounding fault detection, and can quickly respond to fault signals, providing strong technical support for the safe operation of power systems. © 2024 IEEE.

关键词： power distribution lines

来源：评论

学校读者我要写书评

暂无评论

The Design and Development of Central China power grid Intelligent Ticket Forming System 1

引用

4th International Conference on Human Centered Computing, HCC 2018

作者： Hu, Na Su, Renbin Chen, Sanbao Xu, Liangxiong City College Wuhan University of Science and Technology WuhanHubei430083 China Central China Electric Power Dispatching and Control Branch of State Grid Company of China WuhanHubei430077 China

ISBN: (数字)9783030151270

ISBN: (纸本)9783030151263

Based on debugging operation experience of central China power grid, the operation instructions of the debug operation ticket are divided into modules by function, the mechanism of each module ticket is studied one by one. According to the specification of state order in central China power network, the data structure describing the state of various equipment components in power grid is defined, and the state information of equipment is recorded and transferred. According to the characteristics of the debugging charged path, the chain inference rule and error prevention rule based on the network topology are compiled. This paper designs and develops the intelligent ticket-making system of debugging operation in central China power network through the modularization, data-based and practical processing of the ticket-making system. The efficiency and security of debugging operation in central China power grid are improved. © 2019, Springer Nature Switzerland AG.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Research on the Application of SPN technology for power System Communication Network

Research on the Application of SPN Technology for Power Syst...

引用

2023 International Conference on power System technology, powerCon 2023

作者： Guan, Ti Zhang, Hao Yuan, Chao Liu, Lei Liang, Dong State Orid Shandong Electric Power Company Electric Power Dispatching&Control Center Jinan China Economic&Technology Research Institute of Shandong Electric Power Company Planning Review Center Jinan China State Grid Laiwu Power Supply Company Digital and Communication Department Jinan China Information&Telecommunication of Shandong Electric Power Company Telecommunication Transmission Center Jinan China

ISBN: (纸本)9798350300222

The power communication network is an important part of the power grid, and is an important infrastructure to ensure the safe operation of the power grid. In recent years, the rapid development of the new power system with new energy as the mainstay has also put forward higher requirements for the power system communication network. In this paper, we introduce the infrastructure and key technologies of Slicing Packet Network (SPN) technology and summarize its advantages from the demand of new power system development for communication. Finally, the advantages of SPN are verified by using the actual case of SPN in power system communication network of Shandong Electric power company. © 2023 IEEE.

关键词： Electric utilities

来源：评论

学校读者我要写书评

暂无评论

Auxiliary Decision technology and Application of power grid Fault Disposal Based on Knowledge Understanding of Fault Preplan

Auxiliary Decision Technology and Application of Power Grid ...

引用

IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Wang Bo Ning Jian Dai Ze Mei Zhang Yong Xin Shan Jiang Changming Zhang Zhe Lu Tingxiang Zheng Yiming Power Grid Dispatching & Control Technology Branch Company NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Power Grid Dispatching & Control Center North China Branch of State Grid Corporation of China Beijing China

ISBN: (数字)9781728190266

ISBN: (纸本)9781728190273

关键词： auxiliary decision-making fault disposal fault preplan knowledge graph natural language processing Natural Language Processing DISPOSAL faults Intelligent decision making power grids automatic analysis mining system

来源：评论

学校读者我要写书评

暂无评论

Electricity price forecast based on stacked autoencoder in spot market environment

Electricity price forecast based on stacked autoencoder in s...

引用

IEEE International Conference on power and Energy Systems (ICPES)

作者： Ya Zou Mengfu Tu Xianliang Teng Rongzhang Cao Wei Xie Power Grid Dispatching&Control Technology Branch Company NARI TECHNOLOGY DEVELOPMENT CO.LTD Nanjing China NARI RESEARCH INSTITUTE NARI TECHNOLOGY DEVELOPMENT CO.LTD Nanjing China

ISBN: (数字)9781728126586

ISBN: (纸本)9781728126593

Artificial neural network method is a common method for short-term electricity price forecasting. However, when the amount of input and output data is large, the training speed will be slow, and it is easy to fall into local extreme values or even the result is difficult to converge. In view of this, the paper proposes a deep learning model based on stacked autoencoder (SAE) to predict electricity price. This paper analyzes the factors affecting electricity price, proposes an algorithm based on Stacked autoencoder model, and uses MATLAB tools to predict electricity price in PJM power market. The comparison between SAE algorithm and BP algorithm is carried out in the example. The results show that the prediction results based on SAE model are more accurate. The deep learning model has better ability to express the objective function than the shallow model, and can effectively solve the problem of traditional neural network training difficulties.

关键词： Electricity price factor Electricity price forecasting Deep learning stacked autoencoder Electricity pricing Electricity Prices algorithms Objective function

来源：评论

学校读者我要写书评

暂无评论

Analysis and prediction of price transfer mechanism in domestic green certificate market based on convolutional neural network

Analysis and prediction of price transfer mechanism in domes...

引用

6th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM 2024)

作者： Kangping Qing Lifeng Wang Hongyu He Pan Wu Xiaobi Teng Congcong Guo East China Branch of State Grid Corporation of China Shanghai 200120 People's Republic of China NARI Technology Co. LTD. Power Grid Dispatching&Control Technology Branch Company Nanjing Jiangsu 210000 People's Republic of China

ISBN: (数字)9781837242412

The purpose of this study is to explore the price transfer mechanism analysis and prediction of domestic green certificate market based on convolutional neural network. By using convolutional neural network, time series analysis and market economics methods, an innovative price transmission mechanism analysis and prediction model of domestic green certificate market is proposed, aiming to deeply understand the price transmission mechanism of green certificate market and forecast the price trend. The convolutional neural network method is used to study and analyze the historical price data of the domestic green certific ate market in order to reveal the inherent law of the price transmission mechanism. Combined with the method of time series analysis, this paper analyzes the trend and periodicity of market price change, and provides reference for future price trend. Using th e method of market economics, the factors such as supply and demand relationship and policy chan ge in the green certificate market are comprehensively considered, and the price transmission mechanism is deeply interpreted and analyzed. Finally, the analysis and prediction of the price transfer mechanism of the domestic green certificate market based on convolutional neural network provides an important decision-making reference for green certificate market participants, and promotes the development and utilization of green energy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共2页 << < 1 2 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：