wind speed prediction using ANN with input data

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wind speed prediction using ANN with input data

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This project focuses on predicting the wind speed using Artificial Neural Networks (ANN) as a tool. The input data for ANN consists of several factors such as temperature, humidity, and air pressure. The project aims to analyze and evaluate the correlation between these factors and the wind speed prediction output. Additionally, the project will include a comprehensive analysis of the accuracy of the ANN model in predicting wind speeds. Moreover, the project will explore possible applications where the wind speed prediction can be used such as renewable energy and weather forecasting. Therefore, the project will provide insights into the practical use of ANN in predicting wind speed and its potential benefits.