首页|New Machine Learning Study Findings Have Been Published by a Researcher at Feder al University of Santa Catarina (UFSC) (Machine learning for water demand foreca sting: Case study in a Brazilian coastal city)
New Machine Learning Study Findings Have Been Published by a Researcher at Feder al University of Santa Catarina (UFSC) (Machine learning for water demand foreca sting: Case study in a Brazilian coastal city)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting from Santa Catarina, Bra zil, by NewsRx journalists, research stated, "ABSTRACT: Water resources manageme nt is crucial for human well-being and contemporary socio-economic development." Our news reporters obtained a quote from the research from Federal University of Santa Catarina (UFSC): "However, the increasing use of water has led to various problems that affect its quality and availability. To address these issues, acc urate forecasting of water consumption is essential for the optimal operation of water collection, treatment, and distribution systems. This study aims to compa re four machine learning methods for predicting daily urban water demand in a Br azilian coastal tourist city (Guaratuba - Parana). Historical data from the city 's water distribution system, spanning from 2016 to 2019 (1,461 measurements in total), were considered along with meteorological and calendar data to conduct t he investigation. Three time series cross-validation approaches were considered for each method, thus totaling 12 evaluation settings. All models were subjected to hyperparameter optimization and evaluated using appropriate performance metr ics from the literature."
Federal University of Santa Catarina (UF SC)Santa CatarinaBrazilSouth AmericaCyborgsEmerging TechnologiesMach ine Learning
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