Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yulia Gorodetskaya"'
Publikováno v:
Water Cycle, Vol 5, Iss , Pp 297-312 (2024)
Accurate short-term streamflow forecasting models are crucial for effective water resource management, enabling timely responses to extreme flood or drought events and mitigating potential socioeconomic damage. This study proposes robust hybrid Wavel
Externí odkaz:
https://doaj.org/article/8880d57e1a5a48a19c423c0ce7fc3fba
Autor:
Alfeu D. Martinho, Celso Bandeira de Melo Ribeiro, Tales Lima Fonseca, Leonardo Goliatt, Yulia Gorodetskaya
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030637095
BIOMA
BIOMA
This paper proposes a hybrid approach combining an Extreme Learning Machine and a Genetic Algorithm to predict the short-term streamflow at the Cahora Bassa dam, the largest hydroelectric power plant in southern Africa. To predict the streamflows sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f9a06ee617f5e7c52fb2da4292f8263
https://doi.org/10.1007/978-3-030-63710-1_20
https://doi.org/10.1007/978-3-030-63710-1_20
Autor:
Yulia Gorodetskaya, Celso Bandeira de Melo Ribeiro, Leonardo Goliatt da Fonseca, Gisele Goulart Tavares, Tales Lima Fonseca
Publikováno v:
Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782). 4
The short-term streamflow forecast is an important parameter in studies related to energy generation and the prediction of possible floods. Flowing through three Brazilian states, the Paraíba do Sul river is responsible for the supply and energy gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd58f872a6418774386b6ba6ba1c7c44
https://doi.org/10.21575/25254782rmetg2019vol4n3845
https://doi.org/10.21575/25254782rmetg2019vol4n3845
Autor:
Yulia Gorodetskaya, Luciana Conceição Dias Campos, Gabriel Dias de Abreu, Tales Lima Fonseca, Letícia Florentino Pires, Leonardo Goliatt da Fonseca
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302405
EPIA (1)
EPIA (1)
Water resources are essential for sustainable economic and social development, as well as be a vital element for the conservation of ecosystems and the life of all beings on our planet. On the other hand, natural and anthropic disasters from floods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be6d3ae6913da9c4d62a12964c6915b3
https://doi.org/10.1007/978-3-030-30241-2_43
https://doi.org/10.1007/978-3-030-30241-2_43
Autor:
Yulia Gorodetskaya, Gisele Goulart Tavares, Leonardo Goliatt da Fonseca, Celso Bandeira de Melo Ribeiro
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
The Paraíba do Sul river flows through the most important industrial region of Brazil and its basin is characterized by conflicts of multiple uses of its water resources. The prediction of its natural flow has strategic value for water management in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b1ceb0a0688f0b8d9a857d2cc9de8a
https://doi.org/10.5753/eniac.2018.4413
https://doi.org/10.5753/eniac.2018.4413