Real Time Wind Forecasting using Random Forest,ANN, XGBOOST,LSTM

Author(s)	S.Devadharshini, Kishorre.R.P, Kaarun Jagath.V, Eshwar.G, Abisriram .N
Country	India
Abstract	This study represents a Django-based web application which is designed for the wind forecasting, that will be enabling the users to input the categorized wind conditions (For example: high, medium, low) manually. This system will employ the machine learning algorithms that can be helpful in analyzing the environmental parameters including IND, RAIN, IND.1, T.MAX, IND.2, T.MIN, and T.MIN.G to the generate accurate wind patterns with the good predictions. To enhance the real-time responsiveness, this application integrates a GSM module that can issue an automated alert when there is a critical wind conditions that are detected.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-07-10
DOI	https://doi.org/10.71097/IJSAT.v16.i3.5403
Short DOI	https://doi.org/g9sx7h

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International Journal on Science and Technology