This article presents a review of artificial neural networks (ANNs) for wind speed estimation, highlighting their potential and limitations.
This paper proposes an artificial neural network (ANN) model for short-term wind speed forecasting, demonstrating improved accuracy over traditional methods.
The National Renewable Energy Laboratory (NREL) explores the application of artificial neural networks for wind energy forecasting, including wind speed estimation.
This review article discusses the application of deep learning techniques, including artificial neural networks, for wind speed estimation and forecasting.
An open-source tool for wind speed estimation using artificial neural networks, providing a user-friendly interface for data input and model training.
A video tutorial on using artificial neural networks for wind speed prediction, covering data preparation, model training, and evaluation.
This journal article presents a neural network-based approach for wind speed estimation, focusing on its application in renewable energy systems.
A case study on the application of artificial neural networks for wind speed estimation in a real-world scenario, highlighting the benefits and challenges of the approach.