2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)最新文献_第8页

Research and Application of Grid Based Auxiliary Decision System for Distribution Network Planning 基于网格的配电网规划辅助决策系统的研究与应用

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719120

Xu Guanzhong, Ning Bofeng, Tian Songlin

{"title":"Research and Application of Grid Based Auxiliary Decision System for Distribution Network Planning","authors":"Xu Guanzhong, Ning Bofeng, Tian Songlin","doi":"10.1109/ICPECA53709.2022.9719120","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719120","url":null,"abstract":"Urban distribution network planning is a complex system engineering, which has the characteristics of large scale, many uncertain and imprecise factors and wide fields. Urban power grid planning is composed of spatial power load forecasting, substation optimization planning and distribution network planning, which is highly complex. At present, distribution network planning is mostly based on manual methods, and hierarchical analysis is usually used to analyze the current situation of equipment load rate, reliability, transfer rate and voltage qualification rate of distribution network. Urban distribution system planning has the characteristics of large amount of data, many uncertain factors, wide fields involved and rapid renewal and change. The complexity of planning makes it impossible for planners to plan only by relying on their previous work experience. Through the research on the auxiliary decision-making of distribution network planning, this paper optimizes and sorts the distribution network planning projects according to the distribution network basic operation information and distribution network operation evaluation results of the planning big data center, so as to improve the pertinence and effectiveness of distribution network planning.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127646194","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 Application of Satellite Image Technology in High-precision Ranging System in Urban Environment 卫星图像技术在城市环境高精度测距系统中的应用研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9718840

Yao Min, Qiumin Zhang

引用次数: 0

NAT experimental design and result analysis based on simulation technology 基于仿真技术的NAT实验设计与结果分析

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9718894

Cao Huamei

引用次数: 0

An Adaptability Evaluation System of Flexibility Enhancement Technologies for Thermal Power Units 火电机组柔性增强技术的适应性评价体系

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719173

M. Zhou, S. Shao, Fei Wu, Ying Le, Jianing Lin, Kang-Yi Xu, Xiaocong Sun, Chao Guo

{"title":"An Adaptability Evaluation System of Flexibility Enhancement Technologies for Thermal Power Units","authors":"M. Zhou, S. Shao, Fei Wu, Ying Le, Jianing Lin, Kang-Yi Xu, Xiaocong Sun, Chao Guo","doi":"10.1109/ICPECA53709.2022.9719173","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719173","url":null,"abstract":"The booming of renewable energy generation triggers high levels of uncertainty for power systems. The implementation of flexibility enhancement projects for thermal power units has become the main measure to accommodate the renewable energy resource. However, there are various flexibility enhancement technologies and lack of systematic review concerning technical adaptability. This paper proposes an adaptability evaluation system of flexibility enhancement technologies to provide guidance for thermal power plants. Firstly, the systematic review of flexibility enhancement technologies for thermal power units is formulated based on transformation purpose, such as enhancing the negative peak regulation capacity, and improving the AGC (Automatic generation control) regulation rates. Then, the adaptability evaluation system for flexibility enhancement technologies are proposed. This paper can help thermal power units choose the most adaptive flexibility enhancement technology and improve their own competitiveness in ancillary service market.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127890755","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

Mathematical evaluation model of the relationship between earnings and under-pricing in the long-term through big data analysis and calculation 通过大数据分析计算，建立长期收益与定价过低关系的数学评价模型

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719307

Wanlin Zhang, Kaixuan Zhang, Haoqi Lin, Longxuan Qiao, Lei Han

{"title":"Mathematical evaluation model of the relationship between earnings and under-pricing in the long-term through big data analysis and calculation","authors":"Wanlin Zhang, Kaixuan Zhang, Haoqi Lin, Longxuan Qiao, Lei Han","doi":"10.1109/ICPECA53709.2022.9719307","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9719307","url":null,"abstract":"Investors’ performance was always mislead by Initial public offering (IPO) firms by using earnings management, so that the shares are overvalued in the market where they belong public. But over a long period, the genuine firm value prevails. As the earnings usually be exaggerated just before IPO, specially for non-government-owned companies, Share offer price changes as a result, the investor’s interest may be influenced. Thus, in this paper, we took a listed companies in China as the research objects, extracting their financial data of the last three years before IPO, leveraging the unique detailed bid data of institutional investors during the whole IPO process, compares the influence of earnings management on them before and after IPO in the long term. We set the bid price and earnings management as the key variables; quantify earnings management through important financial information, using the regression model and try to contribute the linear relationship; analyzing the accrual-based earnings management and the real earnings management to see earnings management’s influence and relationship with IPO offer price. The hypothesis is that earnings management in Chinese IPO companies is negatively associated with IPO underpricing.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666385","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

A new anti-moss coating for external insulation of substation equipment 一种新型变电站设备外绝缘防苔涂料

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719187

Zhi Li, Lei Peng, Qiang Fu, Musong Lin, Yihua Qian, Yuke Deng

引用次数: 0

User interest representation intelligent session recommendation model based on multi-attention mechanism 基于多注意机制的用户兴趣表示智能会话推荐模型

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719194

Huang Meigen, Chen Linjiao, Xiao Nan

引用次数: 0

Research on Innovative Design of Batik Vector Pattern Based on Genetic Algorithm 基于遗传算法的蜡染矢量图案创新设计研究

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719257

Xu Zhenjun, Shi Zhongzhen

引用次数: 0

Intelligent Prediction System of Process Parameters in Complex Workshop Based on ABPNN 基于ABPNN的复杂车间工艺参数智能预测系统

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9718900

Zhang Xi, Zhang Wanda

{"title":"Intelligent Prediction System of Process Parameters in Complex Workshop Based on ABPNN","authors":"Zhang Xi, Zhang Wanda","doi":"10.1109/ICPECA53709.2022.9718900","DOIUrl":"https://doi.org/10.1109/ICPECA53709.2022.9718900","url":null,"abstract":"With the improvement of workshop production process, the complexity of workshop production is also increasing, which intensifies the difficulty of workshop process parameter prediction. Aiming at the above problems, this paper proposes a workshop process parameter prediction model based on ABPNN algorithm. Aiming at the multi index data of complex workshop, the Pearson correlation coefficient is used to analyze the correlation of workshop process parameters, judge the correlation between the parameters to be predicted and various influencing factors according to the Pearson correlation coefficient, and realize the reduction of prediction parameters. On this basis, Adam algorithm is introduced to establish a learning rate adaptive optimization algorithm based on transfer learning to dynamically adjust the network structure, The reasonable model parameters are solved to improve the prediction accuracy of the model. Through the actual workshop production data as an example, the results show that compared with the traditional BP neural network, the model has certain advantages in prediction accuracy and running speed.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131092776","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

Transductive Zero-shot Learning with New Semantic Embeddings 基于新语义嵌入的换能性零次学习

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Pub Date : 2022-01-21 DOI: 10.1109/ICPECA53709.2022.9719005

Junming Zhang, Junfeng Cui, Wenbin Zhang, Donglin Wang, Haibing Li, Yi Zhang

引用次数: 0