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