Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shanzhe SHI"'
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 5, Pp 461-470 (2024)
Aiming at the problem that the traditional modeling methods cannot describe the real characteristics of flyback converters more accurately, the average state model of the fractional-order flyback converter operating in the intermittent inductance cur
Externí odkaz:
https://doaj.org/article/7acaa04bb70b4fab8ead36e03d2eb943
Publikováno v:
2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS).
In view of the development status of the evaluation system of scientific, this paper proposes an algorithm based on the weighted Dijkstra classification path model. It takes the existing scientific and technological achievements as the model input, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bc0ff4d5eef4c8aa1faa92057193cba
https://doi.org/10.1109/icpics50287.2020.9202078
https://doi.org/10.1109/icpics50287.2020.9202078
Publikováno v:
2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS).
The ultimate purpose of the accumulation of scientific and technological achievements is to form a product industrial chain. The products in the laboratory stage can only be used as technical experience, not bring high profits. Only by assigning the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28082dec1dad8557797623dbf679d83
https://doi.org/10.1109/icpics50287.2020.9202318
https://doi.org/10.1109/icpics50287.2020.9202318
Publikováno v:
E3S Web of Conferences, Vol 165, p 06022 (2020)
The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d750a19dd8084a3fc5c02e2deb3713
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/25/e3sconf_caes2020_06022.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/25/e3sconf_caes2020_06022.pdf
Publikováno v:
E3S Web of Conferences, Vol 165, p 03048 (2020)
Ultra-short-term load forecasting is an important basis for optimization and adjustment of power generation plans and dispatch plans. Based on the radial basis function neural network, the inert load is predicted, and the flexible load is predicted b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1424c851b4172a322d29aea1d9b0c216
https://doi.org/10.1051/e3sconf/202016503048
https://doi.org/10.1051/e3sconf/202016503048