The main objective of the present study is to develop an artificial neural network (ANN)
model based on multi-nonlinear regression (MNLR) method for estimating the monthly mean …

In this paper, a new solar-based renewable energy system integrated with PTSCs (parabolic
trough solar collectors) is proposed, designed and analyzed for an ice-cream factory located …

This paper investigates the modeling of the daily total global solar radiation in Adana city of
Turkey using multi-linear regression (MLR), multi-nonlinear regression (MNLR) and feed …

The purpose of this study is to apply the method of artificial neural networks (ANNs) to
predict the hourly solar radiation of six selected provinces in Turkey. Six neurons—receiving …

In the solar energy application, there are several obstacles during the design of projects.
The investors are still enforcing with deliberately carrying out the right and feasible project …

In recent years, climate change and global warming has resulted in large amount of water
required for irrigation. The designed system is an electronically controlled automatic …

The main objective of the present study was to develop a new model for the solar radiation
estimation in hilly areas of North India for the determination of constants a and b by taking …

The performance ratio, a globally recognized metric that correlates with reported global solar
radiation values, serves as a crucial indicator for evaluating the efficiency of grid-connected …

It is important to know solar energy potential before setting up any solar energy system. It is
usually simulated, as the measurement is not easily attainable in every place. For this …

Assessing the climatic characteristics and identifying the climatic parameters of a specific
region can play a major role in human welfare. Thermal comfort conditions are among the …