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 ...
GitHub

cannot load references #35

I have not used SingleR and celldex in a while, it worked for me well before and I was hoping to use it again for a new project. However, loading the references seems ...
Frontiers

Optimization of time-varying load dynamic response of industrial robot PLC system based on improved model reference adaptive control

In the process of industrial automation, industrial robots are widely used in complex operations such as welding, assembly, and handling. The dynamic response performance under time-varying load ...
IEEE

A Reference Voltage Loop Operation Based ZQ Calibration Technique for Multi-Load High- Capacity NAND Flash Memory Interface

Abstract: This paper proposes a novel ZQ calibration method based on a reference voltage loop operation. ZQ calibration technology improves the integrity of signals transmitted on the channel by ...
Harvard Business Review

When Using AI Leads to “Brain Fry”

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...