Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jin Xueqi"'
Publikováno v:
In Journal of Visual Communication and Image Representation October 2018 56:177-181
Akademický článek
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Publikováno v:
2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS).
In this paper, a new formula for AC unit commitment problem with safety constraints is proposed, which can express the uncertainty of wind power with bounded interval. The proposed SCUC model can flexibly adjust the width of the interval by selecting
Publikováno v:
2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA).
With the rapid development of UHV AC/DC hybrid power grid, the safe and stable operation of interconnected large power grid is facing great pressure, which puts forward higher requirements for real-time analysis and dynamic early warning application
Publikováno v:
In Journal of Visual Communication and Image Representation May 2020 69
Autor:
Qunchao Bi, Jiang Zhengwei, Chen Fan, Jianhua Yang, Chen Weiwei, Huanhuan Lai, Jin Xueqi, Jiajia Huang
Publikováno v:
SmartBlock
In the power room scheduling automation scenario, efficient and intelligent asset management is directly related to the reliable operation of the system and cost savings. Aiming at the problems of low reliability and high resource idle rate in the di
Publikováno v:
2020 IEEE 8th International Conference on Information, Communication and Networks (ICICN).
with the complexity of the power system and the increasingly severe network security environment, the industry has urgently needed to improve the risk prediction ability of the power system security and the potential safety hazards brought about by t
Publikováno v:
Advances in Wireless Communications and Applications ISBN: 9789811558788
Detecting compromised devices helps to evaluate the security threats and reduce the security risks in the smart grid. Compared with the alert data in the general sense, the alert data in the smart-grid monitoring system has the features of higher ale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1356bde518517476488cadd1dafafb2f
https://doi.org/10.1007/978-981-15-5879-5_23
https://doi.org/10.1007/978-981-15-5879-5_23
Publikováno v:
2020 5th IEEE International Conference on Big Data Analytics (ICBDA).
In the context of exponential growth of data information, a large amount of data needs to be effectively processed in the power system intranet to analyze and obtain valuable information. Among them, user behavior is especially important for the secu
Akademický článek
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