首页|Study Findings on Artificial Intelligence Published by Researchers at Port Said University (Estimating the energy consumption for residential buildings in semia rid and arid desert climate using artificial intelligence)
Study Findings on Artificial Intelligence Published by Researchers at Port Said University (Estimating the energy consumption for residential buildings in semia rid and arid desert climate using 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
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Port Said Uni versity by NewsRx journalists, research stated, “This research aims to develop p redictive models to estimate building energy accurately.” Financial supporters for this research include Future University in Egypt. Our news journalists obtained a quote from the research from Port Said Universit y: “Three commonly used artificial intelligence techniques were chosen to develo p a new building energy estimation model. The chosen techniques are Genetic Prog ramming (GP), Artificial Neural Network (ANN), and Evolutionary Polynomial Regre ssion (EPR). Sixteen energy efficiency measures were collected and used in desig ning and evaluating the proposed models, which include building dimensions, orie ntation, envelope construction materials properties, window-to-wall ratio, heati ng and cooling set points, and glass properties. The performance of the develope d models was evaluated in terms of the RMS, R2, and MAPE. The results showed tha t the EPR model is the most accurate and practical model with an error percent o f 2%.”
Port Said UniversityArtificial Intelli genceEmerging TechnologiesMachine Learning
NETL
NSTL
