Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Research on a Modeling Method for Multi source Heterogeneous Energy Power Database

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342778,
        author={Jian  Chen and Dong  He and Yibin  Kang and Chunlei  Zhou and Jimeng  Song and Anqing  Chen and Jinhu  Li and Ziqi  Shen},
        title={Research on a Modeling Method for Multi source Heterogeneous Energy Power Database},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={energy and electricity multi-source heterogeneous data database modeling new energy power system},
        doi={10.4108/eai.17-11-2023.2342778}
    }
    
  • Jian Chen
    Dong He
    Yibin Kang
    Chunlei Zhou
    Jimeng Song
    Anqing Chen
    Jinhu Li
    Ziqi Shen
    Year: 2024
    Research on a Modeling Method for Multi source Heterogeneous Energy Power Database
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342778
Jian Chen1,*, Dong He1, Yibin Kang2, Chunlei Zhou3, Jimeng Song3, Anqing Chen2, Jinhu Li2, Ziqi Shen3
  • 1: State Grid Zhejiang Electric Power Co., Ltd, Hangzhou, 310007, China
  • 2: State Grid Info-Telecom Great Power Science and Technology Co., Ltd, Fuzhou, 350000, China
  • 3: State Grid Corporation of China Big Data Center, Beijing, 100052, China
*Contact email: sgsg_sgsg89@21cn.com

Abstract

With the development of modern science and technology; People's demand for resources is increasing; The original resources can no longer meet the needs of modern development; We need to find a new energy source to replace the existing resources; This resource is required to have the advantages of low cost, large reserves, low pollution and strong sustainability, etc. The logical model and physical model structure of data warehouse suitable for company decision support are analyzed and designed, and the technology of data extraction is studied in detail. Based on the practical application research of strategic prediction and tactical prediction of power energy load with multi-source heterogeneous data, a new energy power system that can meet the practical decision application is designed and realized. This paper explains the database modeling, which can reflect the power model by introducing the data stored in the database, and then explains that the database model analyzes the relationship between unstructured data and structured data and forms the unstructured data association model. Finally, the data of quantity and non-sexual structure are counted. Finally, this paper constructs a power database to describe the overall idea of the database in the form of flow chart.