From there, the model can be asked to map out air quality, wave height, typhoon patterns, and more. The results take only seconds, while conventional weather forecasting methods can take hours to ...

Abstract: Accurate sales forecasting plays a critical role in inventory ... We propose an ensemble model that integrates LightGBM, XGBoost, and Deep Neural Networks (DNN), optimized through Particle ...

In this study, a comparison between the autoregressive integrated moving average (ARIMA) model and the eXtreme Gradient Boosting (XGBoost) model was conducted to determine which was more suitable for ...

This study proposes an ultra-short-term wind power forecasting method using machine learning and time series correlations to enhance accuracy and real-time performance. By employing an improved ...