Robotics & Machine Learning Daily News2024,Issue(Feb.14) :77-78.DOI:10.3390/atmos15010103

Research on Machine Learning Discussed by Researchers at ELTE Eotvos Lorand University (Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :77-78.DOI:10.3390/atmos15010103

Research on Machine Learning Discussed by Researchers at ELTE Eotvos Lorand University (Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation)

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Abstract

Investigators publish new report on artificial intelligence. According to news reporting originating from Budapest, Hungary, by NewsRx correspondents, research stated, “Hourly solar radiation (SR) forecasting is a vital stage in the efficient deployment of solar energy management systems. Single and hybrid machine learning (ML) models have been predominantly applied for precise hourly SR predictions based on the pattern recognition of historical heterogeneous weather data.”

Key words

ELTE Eotvos Lorand University/Budapest/Hungary/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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