학술논문
Data Model and Analysis for Big Data Mapping and Management in the Energy Data Platform
Document Type
Conference
Author
Source
2021 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA) Data Science, Artificial Intelligence, and Business Analytics (DATABIA), 2021 International Conference on. :1-6 Nov, 2021
Subject
Language
Abstract
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy data model. The works focus on the development of data model for big data storage implementation schemes in the energy data. The data model has produces by analyzed the national energy big data architecture, develop the data mapping and correlation, big data master data management with energy industry standardization, big data management portal for upstream energy and downstream energy. The research has goal to establishing a foundation for building technology and big data management in the energy sector which includes petroleum, coal, geothermal and renewable energy, and in the future can be the basis for predictive analysis and national energy production.