Wind prediction has consistently been in the spotlight as a crucial element in achieving
efficient wind power generation and reducing operational costs. In recent years, with the …

Abstract Neural Network Algorithms (NNAs), modeled after the workings of biological
neurons, are increasingly utilized in areas like data mining and robotics to address complex …

This paper proposes a method based on Computational Fluid Dynamics (CFD) and the
detection of Wind Energy Extraction Latency for a given wind turbine (WT) designed for ultra …

To reduce carbon emissions, clean energy is being integrated into the power system. Wind
power is connected to the grid in a distributed form, but its high variability poses a challenge …

Given the building sector's significant influence on global energy consumption and carbon
emissions, especially within existing building stock, it holds a pivotal role in shaping a more …