Research on the Current Situation of Data Governance in the Wind Power Industry
- DOI
- 10.2991/978-94-6463-344-3_47How to use a DOI?
- Keywords
- Digital Transformation; Wind Power Data Governance; Data Standards
- Abstract
Digital transformation is currently at the forefront of China's wind power industry and even the entire manufacturing industry. Comprehensive research on data governance in the wind power industry, is of significant theoretical guidance importance for the digital transformation of the wind power industry. This article analyzes the development of China's wind power industry, and outlines the current situation of data governance of the wind power industry, and give a detailed description on several difficult issues, such as the inadequacy of data governance architecture and standards in the wind power, suboptimal data storage quality, and a noticeable shortage of specialized talent in data governance of the wind power. It also provides relevant recommendations in areas such as data standards, management systems, management implementation, personnel fostering, and technology-assisted platforms.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jidong Wang AU - He Xu AU - Yufan Yang AU - Lei Zhang AU - Wenyan Yue PY - 2024 DA - 2024/01/10 TI - Research on the Current Situation of Data Governance in the Wind Power Industry BT - Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023) PB - Atlantis Press SP - 409 EP - 416 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-344-3_47 DO - 10.2991/978-94-6463-344-3_47 ID - Wang2024 ER -