The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral
loop of flexible plastic pipe) type ground heat exchanger (GHE) was established for a solar …

The advent of reliable and inexpensive sensors and advancements in general computing
have made data-heavy algorithms feasible for operational, real-time decision-making …

Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

The use of fuzzy logic controllers in refrigeration and air conditioning systems, RACs, has as
main objective to maintain certain thermal and comfort conditions. In this sense, fuzzy …

The use of fossil-fueled power stations to generate electricity has had a damaging effect
over the years, necessitating the need for alternative energy sources. Microgrids consisting …

Prediction of the groundwater level (GWL) fluctuations is very important in the water
resource management. This study investigates the potential of two intelligence models …

More than 80% of agricultural land in Ireland is grassland, which is a major feed source for
the pasture based dairy farming and livestock industry. Many studies have been undertaken …