Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xuguo Fu"'
Publikováno v:
Railway Engineering Science, Vol 31, Iss 3, Pp 281-292 (2023)
Abstract When fault occurs on cross-coupling autotransformer (AT) power supply traction network, the up-line and down-line feeder circuit breakers in the traction substation trip at the same time without selectivity, which leads to an extended power
Externí odkaz:
https://doaj.org/article/6db60321ab2942f58697b130bfa8dcbf
Publikováno v:
Railway Engineering Science. 30:532-540
The autotransformer (AT) neutral current ratio method is widely used for fault location in the AT traction power network. With the development of high-speed electrified railways, a large number of data show that the relation between the AT neutral cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9d58ae6345cac91bd2b87b306932aaf
https://doi.org/10.1007/s40534-022-00284-z
https://doi.org/10.1007/s40534-022-00284-z
Publikováno v:
International Journal of Electrical Power & Energy Systems. 135:107554
The current–temperature relationship of contact wire in high-speed railways is the key to the design of pantograph–catenary system and operational planning of electrified locomotives. The traditional researches on the current–temperature relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ad855eb41d04e21613724fdb47f95c6
https://doi.org/10.1016/j.ijepes.2021.107554
https://doi.org/10.1016/j.ijepes.2021.107554
Publikováno v:
2019 IEEE 3rd International Electrical and Energy Conference (CIEEC).
This paper presents a deep hybrid neural network method to predict the regional electricity consumption in the future. The electricity consumption forecasting problem is usually modelled as the time-series problem using the recurrent neural network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ef6132621b2dbe6d4883b3f58eb03c
https://doi.org/10.1109/cieec47146.2019.cieec-201990
https://doi.org/10.1109/cieec47146.2019.cieec-201990