Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Chun-tian Cheng"'
Publikováno v:
Energies, Vol 8, Iss 10, Pp 12228-12241 (2015)
As a novel recurrent neural network (RNN), an echo state network (ESN) that utilizes a reservoir with many randomly connected internal units and only trains the readout, avoids increased complexity of training procedures faced by traditional RNN. The
Externí odkaz:
https://doaj.org/article/c28ff743b51247898c910097788815de
Publikováno v:
Water Science and Engineering, Vol 4, Iss 1, Pp 61-74 (2011)
In this paper, a hybrid improved particle swarm optimization (IPSO) algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization (PSO) algorithm is improved in t
Externí odkaz:
https://doaj.org/article/3dbbead8b95b475c9beee01f5fcdfb14
Publikováno v:
Energies, Vol 10, Iss 2, p 163 (2017)
With the increasingly serious energy crisis and environmental pollution, the short-term economic environmental hydrothermal scheduling (SEEHTS) problem is becoming more and more important in modern electrical power systems. In order to handle the SEE
Externí odkaz:
https://doaj.org/article/ec0b7e2d984b4e7eaa3aa5d57a49ab5d
Autor:
Jian-jian Shen, Chun-tian Cheng, Ze-bin Jia, Yang Zhang, Quan Lv, Hua-xiang Cai, Bang-can Wang, Meng-fei Xie
Publikováno v:
Renewable Energy. 187:743-759
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e9a38f8dfb01f3a72bb4616fb4c3d2
https://doi.org/10.1016/j.renene.2022.01.089
https://doi.org/10.1016/j.renene.2022.01.089
Publikováno v:
Journal of Hydrology. 606:127434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb2c8a1774bbd84f3e63624378e6da1
https://doi.org/10.1016/j.jhydrol.2022.127434
https://doi.org/10.1016/j.jhydrol.2022.127434
Publikováno v:
Water
Volume 7
Issue 8
Pages 4232-4246
Water, Vol 7, Iss 8, Pp 4232-4246 (2015)
Volume 7
Issue 8
Pages 4232-4246
Water, Vol 7, Iss 8, Pp 4232-4246 (2015)
Accurate daily runoff forecasting is of great significance for the operation control of hydropower station and power grid. Conventional methods including rainfall-runoff models and statistical techniques usually rely on a number of assumptions, leadi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e639c141d220421ef6dcb197ea3ba3e7
https://doi.org/10.3390/w7084232
https://doi.org/10.3390/w7084232
Publikováno v:
World Environmental and Water Resources Congress 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dadd914cdb6a10760be851c18082327
https://doi.org/10.1061/9780784480595.044
https://doi.org/10.1061/9780784480595.044
Publikováno v:
World Environmental and Water Resources Congress 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e88be2ff79e43ec21ca7593158168e00
https://doi.org/10.1061/9780784480595.059
https://doi.org/10.1061/9780784480595.059
Publikováno v:
SCIENTIA SINICA Technologica. 44:306-314
This paper develops a hybrid nonlinear optimization method for solving long-term optimal operation of large-scale cascaded hydropower plants with complex spatial coupling constraints. This method proposes conversion factors relevant to generation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786638cd6ee0bfe6d45eb26c118d22ed
https://doi.org/10.1360/092013-1195
https://doi.org/10.1360/092013-1195
Publikováno v:
Computer Science and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d959792e556ab16dcb71947bdcbbcf6d
https://doi.org/10.1142/9789813146426_0091
https://doi.org/10.1142/9789813146426_0091