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2020 IEEE International Conference on Energy Internet (ICEI)最新文献

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Cluster Feature based Multivariate Data Analysis and Recovery Method for Renewable Energy Operation and Control 基于聚类特征的可再生能源运行控制多元数据分析与恢复方法
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00009
Yi Li, Tongxun Wang, Meng Tan, Yaqiong Li, Zhixian Pi
{"title":"Cluster Feature based Multivariate Data Analysis and Recovery Method for Renewable Energy Operation and Control","authors":"Yi Li, Tongxun Wang, Meng Tan, Yaqiong Li, Zhixian Pi","doi":"10.1109/ICEI49372.2020.00009","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00009","url":null,"abstract":"Renewable energy sources is becoming the main form of energy supply side in the energy internet. To improve the absorption capacity and operation analysis level of large-scale distributed renewable energy, it is important to guarantee the accuracy of renewable energy operation data. Based on multi-scenario application analysis, this paper proposed a data quality analysis, abnormal data detection and repair method for renewable energy operation data. Firstly, the renewable energy data types are analyzed, the K-means clustering analysis method is used step by step to form data characteristic curve for data evaluation, and a diagnosis method for abnormal data. Then rough set theory is used to reduce the associated attributes of the operation data value, and establish the importance between data attribute types and data values. Finally, a predictive decision-making attributes forecasting tree is constructed to repair the abnormal data. A numerical load case verifies the effectiveness of the method.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128213465","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
Multi-Granular BERT: An Interpretable Model Applicable to Internet-of-Thing devices 多粒度BERT:一种适用于物联网设备的可解释模型
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00032
Sihao Xu, Wei Zhang, Fan Zhang
{"title":"Multi-Granular BERT: An Interpretable Model Applicable to Internet-of-Thing devices","authors":"Sihao Xu, Wei Zhang, Fan Zhang","doi":"10.1109/ICEI49372.2020.00032","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00032","url":null,"abstract":"With the development of the Energy Internet (EI), its applications have gradually spread from industrial uses to smart homes. Specifically, home Internet of Things(IoT) devices have become popular in the field of smart homes. In this paper, we propose an interpretable model that can be applied on the IoT devices. When Chinese characters are grouped into words, the meaning may vary. Inspired by the observation, we convert character-level Bi-directional Transformer (BERT) to word-level, which we call it multi-granular BERT (MLGB). It constructs the n-gram representation of different lengths within a model. It also learns the self-attention between n-grams during both pre-training and task-specific fine-tuning to learn both the word representation and word-word self-attention at the same time. As a diagnostic task, we evaluate our model on two Chinese text pair classification tasks and observe the model’s behavior. The MLGB retains the BERT’s accuracy on the tasks while demonstrates more interpretable word-level self-attention. Multi-granularity may also have served as a regularization of attention that alleviates the non-identifiability issue of self-attention.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126983365","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
Modelling of Short-Term Memory Effect in Electric Double Layer Capacitor with Graphene-based Electrode 石墨烯电极双电层电容器短期记忆效应的建模
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00017
Ke Ma, Ruowei Zhang, Boyu Qin
{"title":"Modelling of Short-Term Memory Effect in Electric Double Layer Capacitor with Graphene-based Electrode","authors":"Ke Ma, Ruowei Zhang, Boyu Qin","doi":"10.1109/ICEI49372.2020.00017","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00017","url":null,"abstract":"Electric double layer capacitor (EDLC) has seen widespread applications in energy storage for smooth operation of power systems. However, successful integration of EDLC into energy internet requires comprehensive understanding of its electrical response under various operation conditions. This work employs molecular dynamic simulations to study the physical mechanism behind the short-term memory effect reported in discharging process of EDLC. The physical meaning of constant phase element for EDLC is also revealed with equivalent circuit of transmission line model of resistors and capacitors.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132451182","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
Research on Sensitivity Audit Scheme of Encrypted Data in Power Business 电力企业加密数据敏感性审计方案研究
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00010
Peiming Xu, Lin Chen, Yixin Jiang, Qiangqiang Sun, Hao Chen
{"title":"Research on Sensitivity Audit Scheme of Encrypted Data in Power Business","authors":"Peiming Xu, Lin Chen, Yixin Jiang, Qiangqiang Sun, Hao Chen","doi":"10.1109/ICEI49372.2020.00010","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00010","url":null,"abstract":"With the rapid progress of informatization construction in power business, data resource has become the basic strategic resource of the power industry and innovative element in power production. The security protection of data in power business is particularly important in the informatization construction of power business. In order to implement data security protection, transparent encryption is one of the fifteen key technical standards in the Construction Guideline of the Standard Network Data Security System. However, data storage in the encrypted state is bound to affect the security audit of data to a certain extent. Based on this problem, this paper proposes a scheme to audit the sensitivity of the power business data under the protection of encryption to achieve an efficient sensitivity audit of ciphertext data with the premise of not revealing the decryption key or data information. Through a security demonstration, this paper fully proves that this solution is secure under the known plaintext attacks.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124258903","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
Exploring the Influence of Noise in Speech Emotion Recognition Devices for Internet of Thing 探讨噪声对物联网语音情感识别设备的影响
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00031
Mingke Xu, Fan Zhang, Jiannan Yang, S. Khan
{"title":"Exploring the Influence of Noise in Speech Emotion Recognition Devices for Internet of Thing","authors":"Mingke Xu, Fan Zhang, Jiannan Yang, S. Khan","doi":"10.1109/ICEI49372.2020.00031","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00031","url":null,"abstract":"With the development of the Energy Internet (EI), the application of smart grids has expanded from the industrial field to homes and individuals, which effectively promotes the development of home Internet of Things (IoT) devices. The research of the home IoT aims to improve the user experience, and the focus is on the intelligence of the device. The intelligence is inseparable from human-computer interaction (HCI). Speech emotion recognition(SER) uses machines to recognize emotions in human speech, which is an important part of HCI. However, noise usually greatly influences the recognition accuracy in HCI. In this paper, we conduct experiments on 16 types of common noise in the environment. We find that some types of noise influence the recognition effect significantly but some do not. We explain this difference from two perspectives—spectrogram and statistical characteristics so that we will gain more insight as to what type of noise will and/or will not influence the recognition accuracy of a particular SER task.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123361378","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 Overview: Data Security Mechanism of Power Terminal in Edge Computing 边缘计算中电力终端数据安全机制综述
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00013
Yixin Jiang, Yunan Zhang, Aidong Xu, Xiaoyun Kuang, Jiaxiao Meng, Hongshan Chu
{"title":"An Overview: Data Security Mechanism of Power Terminal in Edge Computing","authors":"Yixin Jiang, Yunan Zhang, Aidong Xu, Xiaoyun Kuang, Jiaxiao Meng, Hongshan Chu","doi":"10.1109/ICEI49372.2020.00013","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00013","url":null,"abstract":"The number of power terminals is constantly increasing, and the amount of data to be processed in cloud computing centers is growing exponentially, which requires the computing capacity and data security of computing centers to be continuously improved. The emergence of edge computing solves this problem well. During the application process of edge computing in power systems, power terminals are designed to complete more calculation and storage work. Besides, data security of power terminals is becoming more and more important. That is because the power terminals are widely distributed in a complex and diverse environment. The communication channel is open and easy to destroy, causing serious information security threats. This paper collects global research on data encryption, privacy protection, auditing, and other aspects of data security through the research and analysis of security requirements, as well as research on terminal identity authentication, and eventually reviews various methods.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117305787","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
Analysis of Influence of Uneven Air Gap of Hydrogenerator on Magnetic Field Strength and Rotor Magnetic Pole Stress Change 水轮发电机不均匀气隙对磁场强度和转子磁极应力变化的影响分析
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00034
Q. Sun, Chenyuan Ma, Song Xiao, L. Niu, Jianguo Pu, Yiyang Wu
{"title":"Analysis of Influence of Uneven Air Gap of Hydrogenerator on Magnetic Field Strength and Rotor Magnetic Pole Stress Change","authors":"Q. Sun, Chenyuan Ma, Song Xiao, L. Niu, Jianguo Pu, Yiyang Wu","doi":"10.1109/ICEI49372.2020.00034","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00034","url":null,"abstract":"The uneven air gap between the inner cavity of the stator and rotor’s outer circle is one of the main vibration sources of large hydro-generator sets. Unbalanced magnetic tension between the stator and rotor forms a frequency-exciting disturbance force on the rotor and stator. In this paper, in order to explore the relationship between the uneven air gap and the magnetic field strength as well as electromagnetic stress, magnetic induction intensity of inner air-gap magnetic field of the generator and the stress on the rotor surface are analyzed for six working conditions of the hydroelectric generator, including centering and eccentricity of the rotor. The influence of the hydroelectric generator’s air gap change rotor pole stress is studied with finite element software based on the structure of the generator.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130718257","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
Noise Level Estimation in Energy Internet Based on Artificial Neural Network 基于人工神经网络的能源互联网噪声水平估计
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2020-08-01 DOI: 10.1109/ICEI49372.2020.00023
Yangyang Ming, Junwei Cao, H. Hua
{"title":"Noise Level Estimation in Energy Internet Based on Artificial Neural Network","authors":"Yangyang Ming, Junwei Cao, H. Hua","doi":"10.1109/ICEI49372.2020.00023","DOIUrl":"https://doi.org/10.1109/ICEI49372.2020.00023","url":null,"abstract":"The massive data produced in energy Internet (EI) faces the challenge involved by disturbance of noise, especially the measurement noise and noise attacks by hackers. Traditional noise estimation mainly focuses on the non-white additional or multiplicative noise estimation with definite wave types, and others, e.g., the phase noise in direction-of-arrival of antenna array, or the frequency bias in orthogonal frequency division multiplexing, etc., which usually use traditional estimation technologies. In this paper, a novel noise level estimation algorithm is proposed based on artificial neural network prediction. In an EI scenario, the proposed algorithm only needs to know the noise amplitude of historical data when training the model. At the time of execution, the algorithm estimates the noise level of existing data based on the latest noisy historical data, and the algorithm can be used for most noise types. Through numerical simulations, we found that its performance is apparently improved compared to the low passband filter method.","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133605008","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
Message from the Chairs 来自主席的信息
2020 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2018-09-01 DOI: 10.1109/scam.2018.00005
Icei
{"title":"Message from the Chairs","authors":"Icei","doi":"10.1109/scam.2018.00005","DOIUrl":"https://doi.org/10.1109/scam.2018.00005","url":null,"abstract":"Energy Internet is an Internet-style solution for bottom-up construction of energy infrastructure and applications. The key principle of Energy Internet is decentralized coordination of energy production and consumption that enable open and peer-to-peer energy sharing. The ideal of Energy Internet is iterative balance among energy generation, storage and consumption in real time. By allowing high-level awareness and involvement in the form of cooperation and interaction, secure and reliable delivery of energy is achieved by efficient scheduling, distribution and routing across peers of energy cells in Energy Internet. IEEE ICEI 2019 will focus on related research areas, such as architecture and system design, energy market, renewable energy generation and control, power storage and dispatch, the application of dig data techniques in energy Internet, information and communication technology, stability, security and efficiency of power system as well as management, control and scheduling of power system in Energy Internet. This conference provides a platform for researchers, academics and industries from multidisciplinary domains to share their knowledge, ideas and working experiences for Energy Internet. The goal of this event is to promote more sophisticated technologies and applications for the benefit of improved economic and environmentally friendly energy utilization across the global. of exchange","PeriodicalId":418017,"journal":{"name":"2020 IEEE International Conference on Energy Internet (ICEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051974","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
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