A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting

A vital step toward a sustainable future is the power grid's incorporation of renewable energy sources. Wind energy is significant because of its broad availability and minimal environmental impact. The paper presents a comparative analysis of recurrent neural network algorithms and gradient boosting machines applied to time series data for...