首页|New Findings Reported from Autonomous University of Zacatecas Describe Advances in Machine Learning (Annual Daily Irradiance Analysis of Clusters in Mexico by M achine Learning Algorithms)
New Findings Reported from Autonomous University of Zacatecas Describe Advances in Machine Learning (Annual Daily Irradiance Analysis of Clusters in Mexico by M achine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting from Zacatecas, Mexico, b y NewsRx journalists, research stated, "The assessment of solar resources involv es the utilization of physical or satellite models for the determination of sola r radiation on the Earth's surface." Funders for this research include Consejo Zacatecano De Ciencia, Tecnologia E In novacion,. Our news editors obtained a quote from the research from Autonomous University o f Zacatecas: "However, a critical aspect of model validation necessitates compar isons against ground-truth measurements obtained from surface radiometers. Given the inherent challenges associated with establishing and maintaining solar radi ation measurement networks-characterized by their expense, logistical complexiti es, limited station availability and the imperative consideration of climatic cr iteria for siting-countries endowed with substantial climatic diversity face dif ficulties in station placement. In this investigation, the measurements of annua l solar irradiation, from meteorological stations of the National Weather Servic e in Mexico, were compared in different regions clustered by similarities in alt itude, TL Linke, albedo and cloudiness index derived from satellite images; the main objective is to find the best ratio of annual solar irradiation in a set of clusters. Employing machine learning algorithms, this research endeavors to ide ntify the most suitable model for predicting the ratio of annual solar irradiati on and to determine the optimal number of clusters."
Autonomous University of ZacatecasZaca tecasMexicoNorth and Central AmericaAlgorithmsCyborgsEmerging Technolo giesMachine Learning
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