The need for artificial intelligence (AI) and machine learning (ML) models to optimize data
center (DC) operations increases as the volume of operations management data upsurges …

With the rapid growth of mobile internet, Internet of Things (IoT), and cloud computing, the
demand for data services has arisen sharply. As the core data service infrastructure, the …

The application of Artificial Intelligence (AI) and Machine Learning (ML) models is
increasingly leveraged to automate and optimize Data Centre (DC) operations. However …

Energy-efficient workload management has been widely adopted by data centers for cloud
computing. Thermal and energy modeling plays an important role in making decisions on …

The low‐carbon energy transition requires significant increases in production for many
mineral commodities. Understanding demand, technological requirements, and prices …

Keywords: agent-based modeling; big data; data analytics; geographic information systems
(GIS); industrial ecology; machine learning (ML) EN agent-based modeling big data data …

Addressing the critical need for enhanced power usage effectiveness in data centers (DCs),
this study pioneers an improved convolutional long short-term memory with deep neural …

The proliferation of data centers is driving increased energy consumption, leading to
environmentally unacceptable carbon emissions. As the use of Internet-of-Things (IoT) …

Data center organization and optimization are increasingly receiving attention due to the
ever-growing deployments of edge and fog computing facilities. The main aim is to achieve …

Green and low-carbon has become the main theme of global energy development. Data
centers are the core of the digital age, carrying huge arithmetic demand. Data centers must …