Abstract: This research proposes a low-voltage bipolar-type DC microgrid designed to incorporate at least two energy storage units, ensuring system redundancy and reliability. The study focuses on the ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

This repository contains the implementation and analysis of four electric vehicle (EV) charging scheduling algorithms developed for our graduation project. The goal is to evaluate and compare their ...