首页|Researchers from Department of Electrical Engineering Report Recent Findings in Machine Learning (Composition of Feature Selection Techniques for Improving the Global Horizontal Irradiance Estimation Via Machine Learning Models)

Researchers from Department of Electrical Engineering Report Recent Findings in Machine Learning (Composition of Feature Selection Techniques for Improving the Global Horizontal Irradiance Estimation Via Machine Learning Models)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from New Delhi, India, by N ewsRx journalists, research stated, “The rise in photovoltaic capacity installed globally and the sporadic nature of solar resources underline the significance of solar radiation forecasting for grid integration. The choice of relevant clim atic variables for estimating global horizontal irradiance (GHI) is crucial beca use it influences estimation accuracy.”

New DelhiIndiaAsiaCyborgsEmergin g TechnologiesMachine LearningDepartment of Electrical Engineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.14)