Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lianfei Shan"'
Autor:
Wenbiao Tao, Liang Wang, Qingmeng Meng, Rui Li, Peng Han, Yuxin Shi, Lianfei Shan, Xiaofei Geng
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Power grids often develop specialized startup plans for new equipment to standardize the commissioning process, which presents distinct challenges compared to other types of startup plans. Rule-based generation methods have limited transferability, m
Externí odkaz:
https://doaj.org/article/a248c0ab353344169d29169c684b3d3e
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
New grid equipment startup programs are widely used in various countries to regulate the commissioning of new equipment; these programs have unique differences in terms of strictness, information asymmetry, and complexity relative to other types of s
Externí odkaz:
https://doaj.org/article/df909f6657644405b62d9538257b5788
Publikováno v:
International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022).
Publikováno v:
2022 9th International Forum on Electrical Engineering and Automation (IFEEA).
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 804:032006
The existing word segmentation tools are difficult to effectively segment the scheduling professional corpus, which leads to the problem of limited application of scheduling professional corpus. A method is proposed for constructing a professional co
Publikováno v:
AIP Conference Proceedings.
Aiming at the problem that the predictive fault set depends on the artificial experience in the static security analysis of the smart grid dispatching control system (D5000), a self-adaptive and super real-time forecast system based on D5000 is propo
Publikováno v:
2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).
With the increasing integration of renewable energy, the inter-regional electrical connection is strengthened. Due to the large scale of power grid analysis and calculation, the traditional state estimation cannot meet the real-time requirements of t
Publikováno v:
AIP Conference Proceedings; 2019, Vol. 2073 Issue 1, p020077-1-020077-8, 8p
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Aug2019, Vol. 300 Issue 4, p1-1, 1p