Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yulineth Cárdenas-Escrocia"'
Autor:
Mohammad Ghalandari, Azfarizal Mukhtar, Ahmad Shah Hizam Md Yasir, Ali Alkhabbaz, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia, Binh Nguyen Le
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 4781-4788 (2023)
In this paper, the energy loss of the green building is optimized based on the thickness and lay-up of the Nano-insulation. As different thicknesses and lay-up of the Nano-insulation have a direct effect on energy consumption of the green building wi
Externí odkaz:
https://doaj.org/article/247995018ccb49af8884cc71bf4fbd7d
Autor:
Wei Liu, Yedan Shen, Pasura Aungkulanon, Mohammad Ghalandari, Binh Nguyen Le, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 2787-2796 (2023)
In this paper, the energy supply of a zero-energy building with 220 square meters is considered using optimized nanocomposite solar panels with respect to maximum efficiency. An optimized hybrid machine learning method plays a key role in presenting
Externí odkaz:
https://doaj.org/article/c21ec4a4d3a14d2fa1f57f9e58df6c4d
Autor:
Wongchai Anupong, Muhsin Jaber Jweeg, Sameer Alani, Ibrahim H. Al-Kharsan, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia
Publikováno v:
Energies, Vol 16, Iss 2, p 985 (2023)
Estimating the amount of solar radiation is very important in evaluating the amount of energy that can be received from the sun for the construction of solar power plants. Using machine learning tools to estimate solar energy can be a helpful method.
Externí odkaz:
https://doaj.org/article/f8b12ccab6164bb988ce4ce897461f79
Autor:
Wen-Cheng Wang, Ngakan Ketut Acwin Dwijendra, Biju Theruvil Sayed, José Ricardo Nuñez Alvarez, Mohammed Al-Bahrani, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia
Publikováno v:
Sustainability; Volume 15; Issue 8; Pages: 6475
The internal components of a smart building interact through a compatible fabric and logic. A smart building integrates systems, structure, services, management, and their interrelationships to create a dynamic and cost-efficient environment. Smart b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cf6b78f40f6afd6e2e641e668e1001b
An Application of Machine Learning to Estimate and Evaluate the Energy Consumption in an Office Room
Autor:
Kuang-Sheng Liu, Iskandar Muda, Ming-Hung Lin, Ngakan Ketut Acwin Dwijendra, Gaylord Carrillo Caballero, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia
Publikováno v:
Sustainability; Volume 15; Issue 2; Pages: 1728
There are no exact criteria for the architecture of openings and windows in office buildings in order to optimize energy consumption. Due to the physical limitations of this renewable energy source and the lack of conscious control over its capabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b12770185a241298c3e6b84ed6c6ac
https://hdl.handle.net/20.500.12585/12171
https://hdl.handle.net/20.500.12585/12171
Autor:
Wongchai Anupong, Iskandar Muda, Sabah Auda AbdulAmeer, Ibrahim H. Al-Kharsan, Aníbal Alviz-Meza, Yulineth Cárdenas-Escrocia
Publikováno v:
Sustainability
Volume 15
Issue 4
Pages: 3118
Volume 15
Issue 4
Pages: 3118
Buildings account for sixty percent of the world’s total annual energy consumption; therefore, it is essential to find ways to reduce the amount of energy used in this sector. The road administration organization in Jakarta, Indonesia, utilized a q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2a3f6c678c81cd5a17df218130f4bc4
https://doi.org/10.3390/su15043118
https://doi.org/10.3390/su15043118