Modelling and enhancing the production of green diesel in biodiesel industries have been
hampered by the failure of the conventional approach to pursue space with continuous …

Solar panels have become a popular source of renewable energy due to their sustainability
and environmental friendliness. Accurate predictions of solar panel output are crucial for …

Solar PhotoVoltaic is one among the majority of key techniques for moving away from fossil
fuels and toward renewable energy. Solar prediction is an efficient approach for improving …

Predictive maintenance is a field of research that has emerged from the need to improve the
systems in place. This research focuses on controlling the degradation of photovoltaic (PV) …

One of the most dangerous health diseases affecting the world's population is diabetes
mellitus (DM), and its diagnosis is the key to its treatment. Several methods have been …

Plant microbial fuel cell (P-MFC) is an electrochemical reactor that converts organic
compounds to electrical energy through the catalytic reaction from electrochemically active …

This paper presents a statistical analysis and modeling of the thermophysical properties of
ZnO-MWCNT/EG-water hybrid nanofluid using three artificial intelligence models, including …

Nowadays, many countries focus on develo** clean energy such as photovoltaic (PV) as
public awareness to degrade global warming has increased. However, PV power output is …

In this article, a combined optimization algorithm was proposed which combines the optimal
adaptive Cuckoo algorithm (OACS) which is a Natureinspired algorithm with a Gray Wolf …

The objective of this paper is to build an artificial neural network model to predict global
solar radiation (GSR) with improved accuracy using less number of best input parameters …