The application research of multi-source heterogeneous energy big data analysis

With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of data to build a data analysis process. Therefore,...

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Bibliographic Details
Main Authors: Han, Xuemin, Zheng, Gaofeng, Liu, Pengxi, Li, Zhou, Ma, Junjie, Chen, Xi
Format: Conference Proceeding
Language:English
Subjects:
Big Data
data aggregation
Data analysis
Data models
Decision making
energy big data
Government
industrial transformation and upgrading
information sharing
Production
smart services
Transportation
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Summary:With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of data to build a data analysis process. Therefore, data processing technology and energy data structure is combined; the analysis and processing of data are described from the perspectives of data aggregation, data processing, data analysis and data services. Precision storage, algorithm library, object analysis and intelligent services are also used in big data processing innovatively. Through the establishment of processing models and the realization of specific functions, the circulation, aggregation and sharing of energy big data can be achieved. Finally, the data value can be reflected through the business output of platform and behavior interaction of user. The energy production and consumption revolution will be promoted by analysis and the energy industry will upgrade and transform.
ISSN:2473-3547
DOI:10.1109/ISCID51228.2020.00044