Data on Machine Learning Described by Researchers at Federal University (Urban H eat Island and Electrical Load Estimation Using Machine Learning In Metropolitan Area of Rio De Janeiro)
Data on Machine Learning Described by Researchers at Federal University (Urban H eat Island and Electrical Load Estimation Using Machine Learning In Metropolitan Area of Rio De Janeiro)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Seropedica, Brazil, by News Rx editors, research stated, “This study presents two innovative machine learnin g-based models: one for daily electrical load forecasting in the State of Rio de Janeiro and another for monthly forecasting for each Light concessionaire subst ation in the Metropolitan Area of Rio de Janeiro (MARJ). The utilized data inclu de (1) daily electrical load data from the National System Operator (ONS) for th e State of Rio de Janeiro spanning four years (2017-2020); (2) monthly electrica l load data from 84 Light substations over 11 years (2010-2020); and (3) maximum , minimum, and mean air temperatures.” Financial support for this research came from Conselho Nacional de Desenvolvimen to Cientifico e Tecnologico (CNPQ).
Key words
Seropedica/Brazil/South America/Cybor gs/Emerging Technologies/Machine Learning/Federal University
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