Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta …
This study introduces a novel framework that leverages artificial intelligence (AI), specifically
deep learning and reinforcement learning, to enhance energy efficiency in architectural …
deep learning and reinforcement learning, to enhance energy efficiency in architectural …
[PDF][PDF] Towards the development of an exascale network digital twin
Exascale high performance computing (HPC) systems introduce new challenges related to
fault tolerance due to the large component counts needed to operate at such scales. For …
fault tolerance due to the large component counts needed to operate at such scales. For …
SustainDC: Benchmarking for Sustainable Data Center Control
Machine learning has driven an exponential increase in computational demand, leading to
massive data centers that consume significant amounts of energy and contribute to climate …
massive data centers that consume significant amounts of energy and contribute to climate …