The nonlinear regression estimation issues are solved by successful application of a novel
neural network technique termed as support vector machines (SVMs). Evaluation of …

The role of artificial intelligence (AI) is becoming increasingly important in the field of
banking and finance. It has come a long way, and the trend is likely to continue for some …

In the modern era, deep learning is a powerful technique in the field of wind energy
forecasting. The deep neural network effectively handles the seasonal variation and …

In this paper we propose and discuss different Deep Learning-based ensemble algorithms
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …

The accurate forecast of wind speed is critical in the integration of renewable energy within
the main electrical grid and an important factor for power electrical grid stability, scheduling …

Predicting wind speed for wind energy conversion systems (WECS) is an essential monitor,
control, plan, and dispatch generated power and meets customer needs. The Kingdom of …

This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

To properly manage the groundwater resources, it is necessary to analyze the impact of
groundwater withdrawal on the groundwater level. In this study, a Long Short-Term Memory …