Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...

Power generation and energy storage systems rely on fluid transfer networks that must operate safely and efficiently across ...

Abstract: The integration of electricity, heat, and gas networks introduces additional dimensions of flexibility, but the complex network topology makes power dispatch challenging. This paper presents ...

Ordinary matter, when cooled, transitions from a gas into a liquid. Cool it further still, and it freezes into a solid.

Abstract: This study focuses on the passenger flow prediction in subway stations, especially in the micro-network scenario. We use Granger causality analysis method and deep learning model to explore ...

The rapid progress of large language models (LLMs) has catalyzed the emergence of multimodal large language models (MLLMs) that unify visual understanding and image generation within a single ...

Constrained by the overcurrent capacity of semiconductor components, grid-forming (GFM) converters need to switch from constant-voltage control (CVC) mode to current-limiting control (CLC) mode during ...