IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
GitHub

copy-files-v2.md

Use this task to copy files from a source folder to a target folder using match patterns. (The match patterns will only match file paths, not folder paths). #SourceFolder: # string. Source Folder.
USA Today

Regulators OK ComEd's plan to increase costs for data centers

CHICAGO — As large data centers burn electricity as fast as some small cities, utilities and advocates are looking for ways to ensure they’re not passing the buck for related infrastructure costs to ...
Power Engineering

EPRI launches new large load framework to reduce time to power for data centers

To address time to power, one of the biggest constraints currently slowing data center deployment, EPRI is launching Flex MOSAIC, a uniform flexibility classification framework for large electric ...
IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...