Researchers have developed various models for predicting wind speed, incorporating techniques such as neural networks, wavelet transformation, and optimization algorithms. These models aim to improve the accuracy of short-term and ultra-short-term wind speed predictions. Different studies have proposed distinct approaches, including hybrid models, ensemble systems, and deep learning techniques, to enhance wind speed forecasting.