Abstract: Due to the intrinsic complexity of time series forecasting within power systems, artificial intelligence has emerged as a promising pathway for predictive analytics. Although time series ...

Abstract: Accurate crop yield prediction is vital for optimizing agricultural practices and ensuring food security. This study proposes an optimized XGBoost-based algorithm leveraging time series ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

This repository contains the official source code and data for the research paper: Enhancing stock price forecasting with a modular deep learning framework incorporating plug-and-play Transformer ...