Diffuse solar radiation is a fundamental parameter highly required in several solar energy
applications. Despite its significance, diffuse solar radiation is not measured in many …

To enhance prediction reliability and accuracy, a hybrid model based on the promising
principle of “decomposition and ensemble” and a recently proposed meta-heuristic called …

Urbanization and climate change are two defining environmental phenomena and these two
processes are increasingly interconnected, as rapid urbanization is often accompanied by a …

Air pollution modeling is always along with uncertainties which results in improper decision
making and affects the health of the people exposed to the pollution. Therefore, the …

The knowledge of the probabilistic wind speed distribution is of particular significance in
reliable evaluation of the wind energy potential and effective adoption of site specific wind …

The monthly precipitation data from 29 stations in Serbia during the period of 1946–2012
were considered. Precipitation trends were calculated using linear regression method …

Abstract Support Vector Machines (SVM) is a machine learning (ML) algorithm commonly
applied to the classification of remotely sensing data and more recently for modeling land …

In this study, a hybrid support vector machine–firefly optimization algorithm (SVM-FFA)
model is proposed to estimate monthly mean horizontal global solar radiation (HGSR). The …

In photovoltaic–thermal (PV/T) system analysis, solar collectors with numerous design
concepts have been used to purvey the thermal and electrical energy effectively. In this …

To predict fatigue life of Polyethylene Terephthalate (PET) modified asphalt mixture, various
soft computing methods such as Genetic Programming (GP), Artificial Neural Network …