Daily solar power prediction using data-driven approaches is studied. Four famous data-driven approaches, the Artificial Neural Network (ANN), the Support Vector Machine (SVM), the k-nearest neighbor (kNN), and the multivariate linear regression (MLR), are applied to develop the prediction...

This paper develops new real time prediction models for output power and energy efficiency of solar photovoltaic (PV) systems. These models were validated using measured data of a grid-connected solar PV system in Macau. Both time frames based on yearly average and monthly average are...

In this work, pyridine-N was converted into NO and N2 by using a flow reactor and the dominant NO evolution pathways were identified by means of a kinetic modeling under O2/CO2 atmosphere in temperature range of 1073–1473K for different stoichiometries. The experimental results indicated...