Turbine recommender: The selection of wind turbine type using one of a machine learning technique

This study aims to utilize the machine learning technique build a model recommend suitable wind turbine type based on some variables, such as air speed and density, well visualize location of recommended selection 3D map. Particularly, we applied K-nearest neighbor (KNN) determine amount energy produced by single turbine. We it 10 separate farms in Saudi Arabia. The results indicate that performs very predicting best with mean accuracy 88%, where ten stations resulted from optimized suggested each station. Adding more attributes other factors may assist increasing accuracy. project’s findings will decision-makers Arabia make informed decisions what kind is for specific location. In long run, this help energy-a sustainable source energy-one main goals 2030 vision, specifically under National Industrial Development Logistics Program.