Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hamed Zamanisabzi"'
Autor:
Fernando Aristizabal, Gregory Petrochenkov, Fernando Salas, Hamed Zamanisabzi, Matt Luck, Brian Avant, Bradford Bates, Trevor Grout, Ryan Spies, Nick Chadwick, Zachary Wills, Jasmeet Judge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::592a97bdfc4f664a3a0044278391dab7
https://doi.org/10.1002/essoar.10510488.1
https://doi.org/10.1002/essoar.10510488.1
Publikováno v:
Energy Policy. 137:111174
Shifting from fossil to clean energy sources is a major global challenge, but in particular for those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel exports. Here we introduce an improved framework for renewabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a537b928ae3aa97d0ff68b599bf1c1bb
https://doi.org/10.1016/j.enpol.2019.111174
https://doi.org/10.1016/j.enpol.2019.111174
Publikováno v:
Volume 2A: 44th Design Automation Conference.
In a multireservoir system, ensuring adequate water availability while managing conflicting goals is critical to making the social–ecological system sustainable in the presence of considerable uncertainty. The priorities of multiple user groups and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46954650aa95f92d255a2837b03ae9cf
https://doi.org/10.1115/detc2018-86018
https://doi.org/10.1115/detc2018-86018
Publikováno v:
Operations Research Perspectives, Vol 3, Iss C, Pp 92-117 (2016)
Different multi-criteria decision-making (MCDM) techniques require different levels of computational intensity and may produce different outputs, so selecting an appropriate technique largely determines the quality of the recommended decision and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbe00edf2aac05bc772b0f674de9101f
https://hdl.handle.net/10419/178272
https://hdl.handle.net/10419/178272
Publikováno v:
Civil Engineering Journal. 4:1135
This study illustrates the benefits of data pre-processing through supervised data-mining techniques and utilizing those processed data in an artificial neural networks (ANNs) for streamflow prediction. Two major categories of physical parameters suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ef12a4447f474be6ec2eb85b1b5b5f
https://doi.org/10.28991/cej-0309163
https://doi.org/10.28991/cej-0309163