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What is Wind Power Forecasting with ML Models about?

The presentation outlines a mid-term progress report on a project focused on data-driven machine learning forecasting for wind power generation in Nepal. It highlights the challenges faced in wind energy generation, the objectives of developing a machine learning model, and the tasks performed including literature review, model selection, data acquisition, and preprocessing. The expected outcome is to create a model that can effectively predict wind speed and power over extended periods.

Author

raiyayokhang

Language

EN