Pavement temperature field is driven by climatic factors such solar radiation, air temperature,
wind, and among others. Accurate prediction of pavement temperature field is critical for …

Access to reliable solar radiation data is of paramount importance for the sustainable
development of mankind. However, solar radiation measurements are available in few …

The new edition of this thoroughly considered textbook provides a reliable, accessible and
comprehensive guide for students of photovoltaic applications and renewable energy …

The main objective of present study is to predict daily global solar radiation (GSR) on a
horizontal surface, based on meteorological variables, using different artificial neural …

In tropical environments, the design of bioclimatic houses adapted to their environment
represents a crucial issue when considering thermal comfort and limiting energy …

Monitoring and prediction of the climatic phenomenon are of keen interest in recent years
because it has great influence in the lives of people and their environments. This paper is …

Solar radiation (SR) is considered as a critical factor in determining energy management. In
this research, the potential of the Bayesian averaging model (BMA) was investigated for …

This paper presents a comparative study between Bayesian Neural Network (BNN),
classical Neural Network (NN) and empirical models for estimating the daily global solar …

In this paper, combined empirical models and a Bayesian neural network (BNN) model have
been developed to estimate daily global solar radiation (GSR) on a horizontal surface in …

Housing projects design in cities should be based on an understanding of the urban local
climate; selection of fit-to-purpose thermal comfort models and implementation …