Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Abstract: To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that ...

Investors should diversify beyond tech, focus on macro trends, and seek opportunities in undervalued sectors to achieve solid ...

Abstract: Graph Convolutional Networks (GCNs) demonstrate significant potential in recommendation systems but face difficulties with the cold-start problem, especially in integrating new nodes during ...