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"Solar PV Power Prediction System Based on Machine Learning Approach" by Ghalia Nassreddine, Amal El Arid et al. - Vimarsana News

"Solar PV Power Prediction System Based on Machine Learning Approach" by Ghalia Nassreddine, Amal El Arid et al.

Electricity power is an essential need for the development of technology and industries. It is an essential component of modern human life. Using fossil and other petroleum components for electricity generation harms the environment. Many countries and industries have started using renewable sources like solar systems for electrical power generation. However, the main inconvenience of these systems is that they are unpredictable. The purpose of this work is to develop a machine learning-based method to estimate the generated power of PV solar systems based on environmental data such as sun irr...

Source: uow.edu.au
MyJournals.org - Science - 'Molecules, Vol. 28, Pages 3521: Synergy of Small Antiviral Molecules on a Black-Phosphorus Nanocarrier: Machine Learning and Quantum Chemical Simulation Insights' (Molecules) - Vimarsana News

MyJournals.org - Science - 'Molecules, Vol. 28, Pages 3521: Synergy of Small Antiviral Molecules on a Black-Phosphorus Nanocarrier: Machine Learning and Quantum Chemical Simulation Insights' (Molecules)

MyJournals.org - Science - 'Molecules, Vol. 28, Pages 3521: Synergy of Small Antiviral Molecules on a Black-Phosphorus Nanocarrier: Machine Learning and Quantum Chemical Simulation Insights' (Molecules)

Machine Learning Can Predict Wind Energy Efficiency - Vimarsana News

Machine Learning Can Predict Wind Energy Efficiency

In an article recently published in the journal Energies, researchers presented a comparative study of efficient wind power prediction using machine learning methods.

Source: azom.com