Renewable energy sources have been important for humans since the beginning of
civilization. For centuries and in many ways, biomass has been used for heating and …

There is increasing consensus in both the scientific and political communities that significant
reductions in greenhouse gas (GHG) emissions are necessary to limit the magnitude and …

This study introduces artificial neural networks (ANNs) for the estimation of solar radiation in
Turkey (26–45 E and 36–42N). Resilient propagation (RP), Scale conjugate gradient (SCG) …

Due to global warming and climate changes, the utilization of renewable energy not only
plays a key role in reducing emissions of greenhouse gases in the world but also will supply …

Modelling, performance analysis, and designing of solar energy systems depend on solar
radiation data. In this study, a simple model for estimating the daily global radiation is …

Educational sector is growing drastically as a result of upward trend of population. These
schools require tremendous quantities of energy units to be generated and consumed. As a …

Artificial neural networks (ANNs) were used to estimate solar radiation in Turkey (26–45° E,
36–42° N) using geographical and satellite-estimated data. In order to train the Generalized …

Energy production in a safe and hazard free manner is one of the world׳ s greatest concern.
Since the inception of Kyoto Protocol, which was adopted in 1997 and entered into force in …

Data created by typical weather year approaches, like typical meteorological year, are
widely used in building performance analysis studies. In the literature, there are only two …

This paper summarized an overview of energy balance and greenhouse gas emissions at
UAE in order to prompt renewable and sustainable energy practices. Electricity demand has …