Abstract: Topology optimizations involving evolutionary algorithms are promising approaches to solve practical engineering design problems, since their use of derivation-free algorithms makes them ...
From the lab bench to the cloud, microbiology is integrating Python-based workflows that combine dataset preparation, visualization, and reproducible methods. Using platforms like Jupyter, VS Code, ...
Abstract: In this paper, a deep reinforcement learning (DRL)-based electric vehicles (EVs) management strategy is proposed to achieve peak shaving and regulate the voltage violations in distribution ...