Construction and risk prevention of real-time renewable energy internal control management system based on big data
Qianqian Yu
International Journal of Global Energy Issues, 2024, vol. 46, issue 3/4, 345-364
Abstract:
With the advent of the era of big data, more and more industries have opened a new management era. This paper aims to study the related systems of real-time renewable energy in the era of big data. Designs a real-time renewable energy internal control management system based on big data. It carries out risk prevention for the renewable energy management system. By testing the actual operation performance of the system, the results show that the information response and receiving ratio of the system is at least about 85%, and the highest is more than 99%, which can meet the basic requirements. In addition, even in the case of the data volume of 5000 KB per second, the system running space does not exceed 90% and there is enough running space. Therefore, the renewable energy internal control management system designed in this paper has certain feasibility and system stability.
Keywords: real-time big data; renewable energy; internal control and management system; risk prevention and control. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=137090 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:46:y:2024:i:3/4:p:345-364
Access Statistics for this article
More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().