Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Arvin Samadi-Koucheksaraee"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Hydropower plants are known as major renewable energy sources, usually used to meet energy demand during peak periods. The performance of hydropower reservoir systems is mainly affected by their operating rules, thus, optimizing these rules
Externí odkaz:
https://doaj.org/article/ba0156f1bba947949a1703180c583f6b
Autor:
Iman Ahmadianfar, Seyedehelham Shirvani-Hosseini, Jianxun He, Arvin Samadi-Koucheksaraee, Zaher Mundher Yaseen
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-34 (2022)
Abstract Precise prediction of water quality parameters plays a significant role in making an early alert of water pollution and making better decisions for the management of water resources. As one of the influential indicative parameters, electrica
Externí odkaz:
https://doaj.org/article/d0fa4f9026a2416e852e9ca467ec9d0a
Autor:
Iman Ahmadianfar, Wenyin Gong, Ali Asghar Heidari, Noorbakhsh Amiri Golilarz, Arvin Samadi-Koucheksaraee, Huiling Chen
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 3979-3997 (2021)
Deriving optimal photovoltaic (PV) models’ optimal parameters have tremendous significance in simulating, evaluating, and controlling the photovoltaic systems. Determining unknown parameters of these PV models is a multimodal, nonlinear, and comple
Externí odkaz:
https://doaj.org/article/621b098f549145099c556794092ec9bf
Autor:
Yin Fang, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee, Reza Azarsa, Miklas Scholz, Zaher Mundher Yaseen
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 7854-7877 (2021)
Hydropower is one of the significant renewable energy resources. It is regularly requested at peak time steps to meet the load requirements of power systems resources allocation. Therefore, modeling the optimal operation of hydropower systems to maxi
Externí odkaz:
https://doaj.org/article/feb23c1c3fbd440fa8bc1ae147ad827b
Publikováno v:
Renewable Energy. 211:508-521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06475582317d78648d651db70ec9a60e
https://doi.org/10.1016/j.renene.2023.04.113
https://doi.org/10.1016/j.renene.2023.04.113
Autor:
Iman Ahmadianfar, Seyedehelham Shirvani-Hosseini, Arvin Samadi-Koucheksaraee, Zaher Mundher Yaseen
Publikováno v:
Environmental Science and Pollution Research. 29:53456-53481
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f4ed9c7f19c85b8367c66fbe2322175
https://doi.org/10.1007/s11356-022-19300-0
https://doi.org/10.1007/s11356-022-19300-0
Autor:
Huiling Chen, Ali Asghar Heidari, Noorbakhsh Amiri Golilarz, Wenyin Gong, Arvin Samadi-Koucheksaraee, Iman Ahmadianfar
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 3979-3997 (2021)
Deriving optimal photovoltaic (PV) models’ optimal parameters have tremendous significance in simulating, evaluating, and controlling the photovoltaic systems. Determining unknown parameters of these PV models is a multimodal, nonlinear, and comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99a1ad325b9da02b7127db027272c2a9
http://www.sciencedirect.com/science/article/pii/S2352484721004315
http://www.sciencedirect.com/science/article/pii/S2352484721004315
Autor:
Arvin Samadi-Koucheksaraee, Zaher Mundher Yaseen, Yin Fang, Miklas Scholz, Reza Azarsa, Iman Ahmadianfar
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 7854-7877 (2021)
Hydropower is one of the significant renewable energy resources. It is regularly requested at peak time steps to meet the load requirements of power systems resources allocation. Therefore, modeling the optimal operation of hydropower systems to maxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae2fb888f37afe69bb4818b7fad59a27
http://www.sciencedirect.com/science/article/pii/S2352484721011549
http://www.sciencedirect.com/science/article/pii/S2352484721011549
Autor:
Arvin Samadi-Koucheksaraee, Seyedehelham Shirvani-Hosseini, Iman Ahmadianfar, Bahram Gharabaghi
Publikováno v:
Computational Intelligence for Water and Environmental Sciences ISBN: 9789811925184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0719a104ad4eaeda959844e6f953342a
https://doi.org/10.1007/978-981-19-2519-1_1
https://doi.org/10.1007/978-981-19-2519-1_1
Autor:
Seyedehelham Shirvani-Hosseini, Arvin Samadi-Koucheksaraee, Iman Ahmadianfar, Bahram Gharabaghi
Publikováno v:
Computational Intelligence for Water and Environmental Sciences ISBN: 9789811925184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1829798e775f66bd073cdb80be3738
https://doi.org/10.1007/978-981-19-2519-1_8
https://doi.org/10.1007/978-981-19-2519-1_8