Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Muhammet Deveci"'
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Due to the extraordinary capacity of artificial intelligence (AI) to process rich information from various sources, an increasing number of enterprises are using AI for the development of ecosystem-based business models (EBMs) that require b
Externí odkaz:
https://doaj.org/article/ce73bc435db849f9a36333f743ba0b8f
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102806- (2024)
The most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selecti
Externí odkaz:
https://doaj.org/article/b769d8d8b928486e93bc73e65c29edae
Autor:
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, Fatemeh Daneshfar, Saraswathy Shamini Gunasekaran, Muhammet Deveci
Publikováno v:
IEEE Access, Vol 12, Pp 127440-127459 (2024)
In the past few decades, there have been multiple algorithms proposed for the purpose of solving optimization problems including Machine Learning (ML) applications. Among these algorithms, metaheuristics are an appropriate tool to solve these real pr
Externí odkaz:
https://doaj.org/article/1d29866820aa459fa2e6cddf9dba16ba
Autor:
Xiaomei Ma, Yongqian Liu, Jie Yan, Shuang Han, Li Li, Hang Meng, Muhammet Deveci, Konstanze Kolle, Umit Cali
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 1, Pp 76-87 (2024)
Traditional assessment indexes could not fully describe offshore wind resources, for the meteorological properties of offshore are more complex than onshore. As a result, the uncertainty of offshore wind power projects would be increased and final ec
Externí odkaz:
https://doaj.org/article/0ee8b2fa2a894f22991d1b28c2b0d9fb
Autor:
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, Saraswathy Shamini Gunasekaran, Ali Najah Ahmed, Norziana Jamil, Muhammet Deveci, Rina Azlin Razali
Publikováno v:
Energy Strategy Reviews, Vol 53, Iss , Pp 101409- (2024)
The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks. While deep learning excels in capturing intricate patterns in data, it may fal
Externí odkaz:
https://doaj.org/article/d145dd53de814527a0819539adb46cf6
Autor:
Mohammed Taha Aljburi, A.S. Albahri, O.S. Albahri, A.H. Alamoodi, Saleh Mahdi Mohammed, Muhammet Deveci, Hana Tomášková
Publikováno v:
Energy Strategy Reviews, Vol 51, Iss , Pp 101251- (2024)
Energy Systems Integration (ESI) involves coordinating and planning energy systems to provide reliable and affordable energy services while minimizing environmental harm. It optimizes interactions among different energy sources to achieve sustainabil
Externí odkaz:
https://doaj.org/article/374bba247f9d476ca83c64a907b84d90
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 8, Iss 5, Pp 1261-1280 (2022)
Externí odkaz:
https://doaj.org/article/774f40a3237f4868a220c4b62ca23fa9
Publikováno v:
Sustainable Operations and Computers, Vol 3, Iss , Pp 93-102 (2022)
COVID-19 pandemic, which has announced to the world from Wuhan in China, has naturally formed economic shocks in air transport. As a result of the COVID-19 crisis, governments closed international borders and almost all airlines have drastically redu
Externí odkaz:
https://doaj.org/article/ad0b5b2924b6473c8d13b3d435411b80
Publikováno v:
IEEE Access, Vol 10, Pp 34260-34276 (2022)
The modern power systems are evolving in parallel to the development of other technological trends such as decarbonization and digitalization. While the penetration of renewable energy resources is increasing within the national and regional energy m
Externí odkaz:
https://doaj.org/article/a0da2c57150b4154b0b8bac09cb80d07
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 8805-8824 (2021)
The aim of this study is to determine the degree of importance of criteria affecting site selection of solar photovoltaic (PV) projects using a decision-making model. This study consists of four consecutive stages, as follows: criteria identification
Externí odkaz:
https://doaj.org/article/87299f7f4e514e77af2f78fe1e8c67be