首页|Study Findings from Federal University Espirito Santo Broaden Un- derstanding of Artificial Intelligence (Net Zero Energy Cost Building System Design Based On Artificial Intelligence)
Study Findings from Federal University Espirito Santo Broaden Un- derstanding of Artificial Intelligence (Net Zero Energy Cost Building System Design Based On Artificial Intelligence)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news reporting originating from Vitoria, Brazil, by NewsRx correspondents, research stated, “This paper presents a solution to the energy planning problem in buildings by implementing the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero or almost zero annual energy costs, using Artificial Intelligence (AI) techniques such as bidirectional long short-term memory, ordinary least squares linear regression, K- means, Pearson’s correlation, decision tree, and binary gravitational search algorithm. AI techniques are used to design the optimal structure of a distributed generation system.” Funders for this research include Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Espiritu Santo (FAPES), Netherlands Government, NIH National Institute on Drug Abuse (NIDA).
VitoriaBrazilSouth AmericaArtificial IntelligenceEmerging TechnologiesMachine LearningFederal University Espirito Santo
NETL
NSTL
Elsevier
