The expansion of large language models (LLMs) is creating a new problem for power grids: electricity demand from AI data ...

As consumer demand moves toward ultra-fast fashion, mass customization, and shorter delivery cycles, the traditional bundle system is being replaced by production models built for speed, transparency, ...

Abstract: Flexible job shop co-scheduling problems (FJSCSPs) normally adopt single-load automated guided vehicles (AGVs) for transportation, possibly causing the waste of load capacity. To enhance the ...

Transitional weather poses a significant challenge to the secure operation of remote distribution networks, as both high penetration of renewable energy and scarce scheduling resources are prevalent ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...

The Precedence Diagram Method (PDM) is widely used for modeling large and complex construction projects characterized by non-linear execution logic, overlapping activities, and multiple precedence ...

The electric power industry is undergoing a transformative shift, driven by increasing grid complexity and the integration of renewable energy sources, while still providing reliable, affordable ...