首页|Studies from University of Minho Provide New Data on Machine Learning (Behaviour of Machine Learning algorithms in the classification of energy consumption in s chool buildings)
Studies from University of Minho Provide New Data on Machine Learning (Behaviour of Machine Learning algorithms in the classification of energy consumption in s chool buildings)
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 – New study results on artificial intelligence have been published. According to news reporting out of Braga, Portugal, by NewsRx e ditors, research stated, “The significance of energy efficiency in the developme nt of smart cities cannot be overstated.” Financial supporters for this research include Fct - Fundacao Para A Ciencia E T ecnologia; R&D Units Project Scope; Ccdr-norte. Our news editors obtained a quote from the research from University of Minho: “I t is essential to have a clear understanding of the current energy consumption ( EC) patterns in both public and private buildings. One way to achieve this is by employing machine learning classification algorithms, which offer a broader per spective on the factors influencing EC. These algorithms can be applied to real data from databases, making them valuable tools for smart city applications. In this paper, our focus is specifically on the EC of public schools in a Portugues e city, as this plays a crucial role in designing a Smart City. By utilizing a c omprehensive dataset on school EC, we thoroughly evaluate multiple ML algorithms . The objective is to identify the most effective algorithm for classifying aver age EC patterns.”
University of MinhoBragaPortugalEu ropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
