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2019 IEEE International Conference on Power Data Science (ICPDS)最新文献

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Frequent Pattern Mining Algorithm based on Multi Minimum Support 基于多最小支持度的频繁模式挖掘算法
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017200
Jia Wu, Lijuan Zhang, Wei Cui, Bohang Jiang
{"title":"Frequent Pattern Mining Algorithm based on Multi Minimum Support","authors":"Jia Wu, Lijuan Zhang, Wei Cui, Bohang Jiang","doi":"10.1109/ICPDS47662.2019.9017200","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017200","url":null,"abstract":"An improved multi minimum support frequent pattern mining algorithm IMISFP-growth is proposed. Firstly, preprocessing the items in the transaction database before constructing the tree, deleting those items whose support is less than the minimum item support, and constructing multiple support trees using the remaining frequent items. Then a new method of constructing multiple item tree based on intersection rules is proposed. This method no longer uses a specific standard arrangement item to generate tree, but constructs a tree by the principle of intersection every time a new transaction item set is input. Finally, the IMISFP-growth algorithm is compared with the CFP-growth++ algorithm on five different databases. The experimental results show that the improved algorithm is superior to the CFP-growth++ algorithm in terms of running time, memory consumption and scalability.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130964874","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
The Amplitude & Frequency Bilateral Modulation Characteristics of Wind Speed Signal 风速信号幅频双向调制特性研究
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017189
Kun Yao, J. Wan, G. Ren, Mengqi Pan, Wei Wang, Yong Cao, Jilai Yu
{"title":"The Amplitude & Frequency Bilateral Modulation Characteristics of Wind Speed Signal","authors":"Kun Yao, J. Wan, G. Ren, Mengqi Pan, Wei Wang, Yong Cao, Jilai Yu","doi":"10.1109/ICPDS47662.2019.9017189","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017189","url":null,"abstract":"The sufficient actual big data analysis shows that wind speed has multi-scale amplitude & frequency modulation characteristics. There is an evident amplitude modulation effect between the average wind speed and the turbulence variance, and the modulation effect is also found with multi-scale characteristic. The turbulence intensity decreases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the turbulence intensity almost keeps stable. Simultaneously, both the average wind speed and the center frequency also have the multi-scale modulation effect. The center frequency increases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the center frequency almost keeps stable. The key discussion was given for this multi-scale amplitude and frequency modulation characteristic resulting from the cascade effect of turbulent energy transport. And the instantaneous model of wind speed and wind power is presented for its great significance of power system's real-time dispatch and optimization control.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"15 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120927940","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 Distribution Network Model Management Scheme with High Trusted Two-way Encryption Authentication 一种具有高可信双向加密认证的配电网模型管理方案
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017171
Zhimin Guo, Zhuo Lv, Cen Chen, Wen Yang, Mingyan Li
{"title":"A Distribution Network Model Management Scheme with High Trusted Two-way Encryption Authentication","authors":"Zhimin Guo, Zhuo Lv, Cen Chen, Wen Yang, Mingyan Li","doi":"10.1109/ICPDS47662.2019.9017171","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017171","url":null,"abstract":"The stolen or modified data transmission between the primary station and the terminal in the distribution network automation communication system will have a great impact on the security of the entire distribution network, and the large-scale distribution network encrypts the communication data between the primary station and the terminal. Efficiency puts higher demands. Based on the national network adjustment [2011] No. 168 document and the current distribution network security protection scheme, a high-reliability automated distribution network model management scheme based on two-way encryption authentication technology is proposed. Solve the problem that the uplink data of the terminal is not credible due to the single authentication between the primary station and the terminal in the current distribution network protection scheme. Compared with the current distribution network, the proposed scheme integrates the network layer and the application layer, unified key management, and implements a low-latency, highly trusted two-way encryption authentication mechanism for data transmission between the primary station and the terminal. It is the first in China.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132712570","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
An Improved Sequential Pattern mining Algorithm based on Large Dataset 一种改进的大数据集序列模式挖掘算法
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017198
Jia Wu, Bing Lv, Wei Cui
{"title":"An Improved Sequential Pattern mining Algorithm based on Large Dataset","authors":"Jia Wu, Bing Lv, Wei Cui","doi":"10.1109/ICPDS47662.2019.9017198","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017198","url":null,"abstract":"So far, there are many classical algorithms for sequential pattern mining. In these algorithms, PrefixSpan algorithm is one of the most widely used algorithm, the algorithm USES the prefix projection technology, effectively avoid the candidate item, to a certain extent, improve the efficiency of mining, however, need to construct a large number of projection database PrefixSpan algorithm, and constructs the projection database not only need to consume a lot of memory, and need to add a lot of scanning time, therefore, in this paper, the PrefixSpan algorithm is improved, and put forward the ISPA algorithm, this algorithm can greatly reduce the number of projection database building and thus improve the efficiency of sequential pattern mining First, by comparing the mining results of the two algorithms, it is found that ISPA algorithm can find the most important sequence pattern, thus satisfying. Secondly, experiments are performed on three aspects: different support, types of data sets, and size data sets. It is verifies that the ISPA algorithm is better than the PrefixSpan algorithm.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121500077","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: 1
Privacy Protection Algorithm for Frequent Itemset Mining 频繁项集挖掘的隐私保护算法
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017193
Bo Peng, Xian Li, Wei Cui
{"title":"Privacy Protection Algorithm for Frequent Itemset Mining","authors":"Bo Peng, Xian Li, Wei Cui","doi":"10.1109/ICPDS47662.2019.9017193","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017193","url":null,"abstract":"A differentially private frequent itemset mining algorithm DP-FMA is proposed for privacy protection of frequent itemset mining. The existing algorithms have great damage to the data. In order to solve this problem, DP-FMA is based on the real frequent itemset to mine the frequent itemset with noise, so that the support of frequent itemset will not decrease, and the availability of mining results will be improved. Aiming at the problem of inconsistency between the support with noise and the real support for mining in existing algorithms, a consistent constraint strategy is proposed, which makes the mining support with noise in descending order of integer and ultimately improves the accuracy of mining results. Finally, theoretical analysis is used to prove the differential privacy and availability of the algorithm. The experimental comparison proves the high availability and high accuracy of the algorithm.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133241149","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: 1
An Improvement Method Based on Similarity Theory for Equilibrium Manifold Expansion Model 基于相似理论的平衡流形展开模型改进方法
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017195
Linhai Zhu, Jinfu Liu, Weixing Zhou, Daren Yu
{"title":"An Improvement Method Based on Similarity Theory for Equilibrium Manifold Expansion Model","authors":"Linhai Zhu, Jinfu Liu, Weixing Zhou, Daren Yu","doi":"10.1109/ICPDS47662.2019.9017195","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017195","url":null,"abstract":"Data-driven model has been employed as a powerful tool for identification of complex industrial systems with nonlinear dynamics, such as gas turbines (GT). In this study, a methodology based on data and prior knowledge fusion was developed to improve the equilibrium manifold expansion model to be a multi-input-multi-output (MIMO) model for offline system identification of a two-spool gas turbine. The methodology is evaluated through a case study involving data that are generated by general gas turbine simulation. Simulations show good precision of the proposed model in capturing the nonlinear behavior of the gas turbine.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123293335","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: 3
Multi-function Socket Device Design Based on HPLC Transmission and LoRa Wireless Transmission Technology 基于HPLC传输和LoRa无线传输技术的多功能插座器件设计
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017170
Yang Junzhong, Yang Sen, T. Haitao
{"title":"Multi-function Socket Device Design Based on HPLC Transmission and LoRa Wireless Transmission Technology","authors":"Yang Junzhong, Yang Sen, T. Haitao","doi":"10.1109/ICPDS47662.2019.9017170","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017170","url":null,"abstract":"With the development of power technology, highspeed power line broadband carrier and LoRa wireless transmission technology have received more and more attention from the power industry. Based on the current market prospects, this paper studies the multi-function socket device based on high-speed power line broadband carrier (HPLC) transmission technology and LoRa wireless transmission technology. The communication device for transmitting, receiving, decoding, and transmitting the basic content of the power carrier module can be completed by HPLC technology, and the monitoring data collection and transmission of the substation environment can be realized. Research LoRa wireless communication optimization technology, under the same power consumption conditions, can travel farther than other wireless methods, achieve low power consumption and long distance uniformity, and realize the device can operate safely and stably for a long time.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123872122","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: 2
Analysis and Measures of 10kV Bus PT Breakdown Accident 10kV母线PT击穿事故分析与对策
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017180
Mengchao Ma, Yongbin Bao, Lei Wang, W. Nie, Yidong Zhang, Yang Li
{"title":"Analysis and Measures of 10kV Bus PT Breakdown Accident","authors":"Mengchao Ma, Yongbin Bao, Lei Wang, W. Nie, Yidong Zhang, Yang Li","doi":"10.1109/ICPDS47662.2019.9017180","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017180","url":null,"abstract":"A 10kV bus PT breakdown accident caused by two-phase grounded is mainly introduced in this paper. Firstly, the bus voltage variation is analyzed when two-phase grounded occurs. Then, the ferromagnetic resonance mechanism and the reason of PT magnetic saturation are introduced in neutral point ungrounded system. The function of PT primary side resonance elimination device is analyzed. At last, the management and technology problem exposed by the accident is analyzed, and the preventive measures suitable for the company are put forward in order to reduce the occurrence of such accidents.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121708066","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
Set-based Noise Elimination for Is-a Relations in a Large-Scale Lexical Taxonomy 大规模词汇分类中基于集的Is-a关系噪声消除
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017169
Qinshen Wang, Yinan An, Yaping Li, Hongzhi Wang
{"title":"Set-based Noise Elimination for Is-a Relations in a Large-Scale Lexical Taxonomy","authors":"Qinshen Wang, Yinan An, Yaping Li, Hongzhi Wang","doi":"10.1109/ICPDS47662.2019.9017169","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017169","url":null,"abstract":"As the significance of knowledge base has been widely accepted during the past decade, how to efficiently eliminate the noises in the knowledge base becomes a key problem since the automatically constructed knowledge base usually contains lots of noises that disturbs its application. Based on the observation for Is-a relations that the real entities of a concept A always share several same ancestors besides A, we come up with an Is-a relations noise elimination approach. In this paper, we will elaborate on this approach and explain the pseudocode of it. Our experimental results demonstrate that such an approach is capable of eliminating the noises in the knowledge base efficiently.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124141069","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: 1
Cash Flow Forecasting Model for Electricity Sale Based on Deep Recurrent Neural Network 基于深度递归神经网络的售电现金流预测模型
2019 IEEE International Conference on Power Data Science (ICPDS) Pub Date : 2019-11-01 DOI: 10.1109/ICPDS47662.2019.9017192
Shuguo Chen, D. Kong, Fei Lan, Minghui Liu, Tian-zhuang Ye, Kuntao Xiao, Pengfei Zheng, Yuan Chang, Meng Li, Shaojun Zhu
{"title":"Cash Flow Forecasting Model for Electricity Sale Based on Deep Recurrent Neural Network","authors":"Shuguo Chen, D. Kong, Fei Lan, Minghui Liu, Tian-zhuang Ye, Kuntao Xiao, Pengfei Zheng, Yuan Chang, Meng Li, Shaojun Zhu","doi":"10.1109/ICPDS47662.2019.9017192","DOIUrl":"https://doi.org/10.1109/ICPDS47662.2019.9017192","url":null,"abstract":"Daily cash flow forecasting plays a very important role in enterprise development planning and strategic deployment. This paper makes use of a deep recurrent neural network model and applies it to the forecast of daily sales cash flow. This model adopts GRU unit structure. Through analyzing and mining historical payment flow data, the neural network model is used to automatically learn and extract the internal characteristics of information, and finally the daily cash flow prediction results are obtained. This method is the first successful application of artificial intelligence algorithm in the daily cash flow prediction of power grid. Experimental results show that the model is more accurate than ARIMA method.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131340966","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: 1
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