Autors: Percuku, A. S., Minkovska, D. V., Stoyanova, L. Y.
Title: Modeling and Processing Big Data of Power Transmission Grid Substation Using Neo4j
Keywords: Big Data; Power transmission grid; Neo4j; Processing and mod

Abstract: Data sizes in power transmission grid have increased rapidly, which results in challenges. These data are large in volume; they are generated fast and in different format, and come from various sources such as electrical substations. Traditional relational databases are inadequate in terms of response time and have impact on performance when applied to very large data sets, and also make this database difficult to evolve according to business needs. To address this shortcoming, the Big Data implementations are leveraging new technologies such as NoSQL data stores. This research paper aims and tries to improve this process by modeling and processing those data using Neo4j database, and presents modeling and processing the data of power transmission grid substation which has two power transformers, and then adding a new power transformer to simulate the evolving feature of Neo4j database according to the business needs.

References

    Issue

    8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017), Lund, Sweden, vol. 113, pp. 9-16, 2017, Sweden, Procedia Computer Science, ISSN 1877-0509

    Цитирания (Citation/s):
    1. Qin, L., Hao, Z., Zhao, L., Food safety knowledge graph and question answering system, 7th International Conference on Information Technology: IoT and Smart City, ICIT 2019; Shanghai; China; 20 December 2019 through 23 December 2019; Code 158536 - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Guo, A., Ma, J., Wang, K.I.-K., Towards integrative personal character modeling using multi-strategy fusion across scenarios and periods, Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019 - 2019 - в издания, индексирани в Scopus или Web of Science
    3. Padayachy, T., Scholtz, B., Wesson, J., An Information Extraction Model Using a Graph Database to Recommend the Most Applied Case, Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018 4 March 2019, Article number 8658659, Pages 89-94 - 2019 - в издания, индексирани в Scopus или Web of Science
    4. Pan, Z., Jing, Z., Modeling methods of big data for power grid based on graph database, 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings 3 January 2019, Article number 8602074, Pages 4340-4348 - 2019 - в издания, индексирани в Scopus или Web of Science
    5. Liang Liang, Electric Security Data Integration Framework based on Ontology Reasoning, 6th International Conference on Information Technology and Quantitative Management, Procedia Computer Science Volume 139, 2018, Pages 583-587, https://doi.org/10.1016/j.procs.2018.10.206 - 2018 - в издания, индексирани в Scopus или Web of Science
    6. 23. Qin, L., Hao, Z., Yang, L., Question answering system based on food spot-check knowledge graph, ACM International Conference Proceeding Series, pp. 168-172, ICCDE 2020: Proceedings of 2020 the 6th International Conference on Computing and Data Engineering January 2020 Pages 168–172, https://doi.org/10.1145/3379247.3379292 - 2020 - в издания, индексирани в Scopus или Web of Science
    7. Tianfang Sun, Pin Yang, Mengming Li, Shan Liao, An Automatic Generation Approach of the Cyber Threat Intelligence Records Based on Multi-Source Information Fusion, DOI: 10.3390/fi13020040, February 2021, Future Internet 13(2):40 - 2021 - в издания, индексирани в Scopus или Web of Science
    8. Li, K., Liu, D., Li, Y., Research on power transformer test plan based on big data processing algorithm, Journal of Physics: Conference SeriesVolume 1648, Issue 2, 30 October 2020, Article number 221302020 International Conference on Building Technology and Computer Science, BTCS 2020; Taiyuan, Shanxi; China; 10 August 2020 through 12 August 2020; Code 164562 - 2020 - в издания, индексирани в Scopus или Web of Science
    9. Hu, H.,Fang, M.,Zhang, Y.,Jing, L.,Hu, F., Dynamic lightning protection method of electric power systems based on the large data characteristics, International Journal of Electrical Power and Energy Systems, Volume 128, June 2021, Article number 106728 - 2021 - в издания, индексирани в Scopus или Web of Science
    10. Qin, L., Hao, Z.G., National Food Safety Standard Graph and Its Correlation Research, Lecture Notes in Electrical Engineering, Volume 653, 2021, Pages 405-411, 2nd International Conference on Artificial Intelligence in China, ChinaAI 2020; Code 255399 - 2021 - в издания, индексирани в Scopus или Web of Science
    11. Yashar Kor, Liang Tan, Marek Z. Reformat, Petr Musilek, GridKG: Knowledge Graph Representation of Distribution Grid Data, Conference: 2020 IEEE Electric Power and Energy Conference (EPEC), Edmonton, AB, Canada, November 2020, DOI: 10.1109/EPEC48502.2020.9320066 - 2020 - в издания, индексирани в Scopus или Web of Science
    12. M Sholeh, R Y Rachmawati and E Susanti, Design and implementation of graft database on MSME information system using Neo4j, Journal of Physics: Conference Series, Volume 1833, International Conference on Technology and Vocational Teachers (ICTVT) 2020 5 October 2020, Yogyakarta, Indonesia, ISSN 17426588, DOI 10.1088/1742-6596/1833/1/012001 - 2020 - в издания, индексирани в Scopus или Web of Science
    13. Zhang Y.,Wang H.,Zhai X.,Zhao Y.,Guo J.f, A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks, Systems Science and Control Engineering, E-ISSN:2164-2583, Volume 9, Issue 1, Pages 497 – 513, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    14. Qingqing Chang, Shah Nazir, Xia Li, Decision-Making and Computational Modeling of Big Data for Sustaining Influential Usage, Scientific Programming journal, Volume 2022, Article ID 2099710, https://doi.org/10.1155/2022/2099710 - 2022 - в издания, индексирани в Scopus или Web of Science
    15. Zirui Hu, Chunyi Weng, Li Qin, Xi Luo, Food Inspection Data Analysis System based on Knowledge Graph, 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE), January 2022, DOI: 10.1109/ICCECE54139.2022.9712685 - 2022 - в издания, индексирани в Scopus или Web of Science
    16. Xuhui Xu, Cheng Chen, Enwei Wei, Huikun Pei, Electrical design problems and improvement countermeasures of transmission lines under the background of big data and artificial intelligence, Journal of Computational Methods in Sciences and Engineering, November 2022, DOI: 10.3233/JCM-226570 - 2022 - в издания, индексирани в Scopus или Web of Science
    17. Xiaohu Liu, Design and Research of Distributed Web Crawler Based on Knowledge Graph, 2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME), June 2022, DOI: 10.1109/ICDIIME56946.2022.00020 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    18. Healy, Meadhbh, O'Connor, Thomas, Keating, John, Comparison of Graph- and Collection-Based Representations of Early Modern Biographical Archives, CEUR Workshop Proceedings, Volume 3110, Pages 60 - 852022 2020 Graph Technologies in the Humanities, GRAPH 2020, Vienna 21 February 2020t hrough 22 February 2020, Code 177873 - 2020 - в издания, индексирани в Scopus или Web of Science
    19. Zhao, Lianga, Zhang, Zhaoyue, Liao, Ziyi, Wang, Ling, Relationship extraction in the field of food safety based on BERT and improved PCNN model, Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, Volume 38, Issue 8, Pages 263 - 2701 April 2022 - 2022 - в издания, индексирани в Scopus или Web of Science
    20. Jingfeng CuiXiuchen ZhangDejun Zheng, Construction of recipe knowledge graph based on user knowledge demands, Journal of Information Science 2023, DOI 10.1177/01655515221151139 - 2023 - в издания, индексирани в Scopus или Web of Science
    21. Singh, K.K., Amist, A.D., Measuring Effectiveness of CSR Activities to Reinforce Brand Equity by Using Graph-Based Analytics, Cognitive Science and TechnologyPages 53 – 64, 2023 (book chapter), DOI 10.1007/978-981-19-8086-2_5 - 2023 - в издания, индексирани в Scopus или Web of Science
    22. Daoxing LiKai XiaoXiaohui WangPengtian Guo[...], Towards sparse matrix operations: graph database approach for power grid computation,February 2023 Global Energy Interconnection 6(1):50-63, DOI: 10.1016/j.gloei.2023.02.005 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    23. Kor, Yashar, Knowledge Graph Representation of Power System and Data-Driven Analysis of Outages, thesis, Department of Electrical and Computer Engineering, University of Alberta, 2021, https://era.library.ualberta.ca/items/8bcc9214-3d4f-489a-8e73-5c6cd4bf4134 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    24. Bastidas Bastidas, Edwin Alfredo, Desarrollo de un sistema web para la automatización del proceso de mapeo sistemático de la literatura, y validado mediante un marco de trabajo de calidad de uso basado en las normas ISO/IEC 25000 para mejorar el proceso de investigación en los docentes de la Universidad Técnica del Norte, thesis, Ibarra, 2020, http://repositorio.utn.edu.ec/handle/123456789/10254 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    25. O ŞEN, A Comprehensive Review of Big Data Applications for Power Systems, 2020 - Ankara Yıldırım Beyazıt Üniversitesi - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    26. Zhang Yufei, Wang Hongwei, Zhai Xiang, Niu Dongxiao, Cao Mengyuan, Complex product design knowledge retrieval system based on knowledge graph and hesitant fuzzy theory, Gaojishu Tongxin/Chinese High Technology LettersVolume 33, Issue 2, Pages 208 – 22025, February 2023, ISSN 10020470, DOI 10.3772/j.issn.1002-0470.2023.02.010 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    27. Muhammad Sholeh, Rr. Yuliana Rachmawat, Dina Andayati, etc., Migrating data from a relational database to a graph database in the management system of cooperation archives, Proceeding Of The 7th International Conference Of Science, Technology, And Interdisciplinary Research (Ic-Star 2021), January 2023, DOI: 10.1063/5.0105274 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science