Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Jae-Hoi Gu"'
Publikováno v:
Energies, Vol 17, Iss 10, p 2290 (2024)
Reductions in energy consumption and greenhouse gas emissions are required globally. Under this background, the Multilayer Perceptron machine-learning algorithm was used to predict liquid natural gas consumption to improve energy consumption efficien
Externí odkaz:
https://doaj.org/article/1abe7bee583549ff86838e4cc730f194
Publikováno v:
Energies, Vol 17, Iss 7, p 1757 (2024)
Amidst an energy crisis stemming from increased energy costs and the looming threat of war, there has been a burgeoning interest in energy conservation and management worldwide. Industrial complexes constitute a significant portion of total energy co
Externí odkaz:
https://doaj.org/article/d98fc45d4a634cb6b0a0ded3926eaf4f
Publikováno v:
Energies, Vol 16, Iss 3, p 1550 (2023)
The industrial sector accounts for a significant proportion of total energy consumption. Factory Energy Management Systems (FEMSs) can be a measure to reduce energy consumption in the industrial sector. Therefore, machine learning (ML)-based electric
Externí odkaz:
https://doaj.org/article/b221e5aefe844c61b376a2babae27fb6
Publikováno v:
Korean Society of Thermal Environmental Engineers. 16:1-8
Publikováno v:
Energies, Vol 7, Iss 4, Pp 2095-2106 (2014)
The kinetic analysis method using the non-isothermal technique was proposed to determine the kinetic parameters for the transesterification reaction of waste vegetable oil (WVO) in supercritical alcohols. To investigate the transesterification of WVO
Externí odkaz:
https://doaj.org/article/c4b874283f944e96893fb81ae062c197
Autor:
Hyun Gyu Kim, Jae Hoi Gu
Publikováno v:
Korean Review of Corporation Management. 12:203-220
Publikováno v:
Journal of Korea Society of Waste Management. 37:366-373
Publikováno v:
Journal of Korea Society of Waste Management. 37:354-365
Publikováno v:
Journal of Korea Society of Waste Management. 36:495-506
Publikováno v:
Journal of Korea Society of Waste Management. 36:289-298