Research Article
A Web Service Software Design Pattern Targeting Power System Data Analytics and its Application on State Estimation Data
@INPROCEEDINGS{10.4108/eai.3-11-2023.2342227, author={Zhantao Fan and Yuan Xu and Yiping Chen and Ligang Zhao and Yan Guo and Hongyue Zhen and Wenjun Mao and Tinghui Zhou and Xiaoshan Wu and Guanbiao Huang and Yingqi Tang and Changxiang Wang}, title={A Web Service Software Design Pattern Targeting Power System Data Analytics and its Application on State Estimation Data}, proceedings={Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3--5, 2023, Zhenjiang, China}, publisher={EAI}, proceedings_a={ICIDDT}, year={2024}, month={1}, keywords={software design pattern power system data analytics state estimation}, doi={10.4108/eai.3-11-2023.2342227} }- Zhantao Fan
Yuan Xu
Yiping Chen
Ligang Zhao
Yan Guo
Hongyue Zhen
Wenjun Mao
Tinghui Zhou
Xiaoshan Wu
Guanbiao Huang
Yingqi Tang
Changxiang Wang
Year: 2024
A Web Service Software Design Pattern Targeting Power System Data Analytics and its Application on State Estimation Data
ICIDDT
EAI
DOI: 10.4108/eai.3-11-2023.2342227
Abstract
More and more data-driven analyzing methods are proposed to thoroughly reveal risks of the high proportion new energy power system in academia. However, the development of digital infrastructure of power grid enterprises can’t keep pace, due to the security requirements, and, more directly, the data silos between different data services. A web service software design pattern targeting power system data analytics is introduced in this paper to improve data interaction efficiency, and the pattern is validated by an actual application on state estimation data.
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