Amazon users across several regions encountered difficulties accessing product listings and completing purchases after a technical disruption affected parts of the e-commerce platform, leaving many ...

Abstract: This study hopes to improve the accuracy and robustness of power load forecasting in smart grids. A load forecasting optimization model based on particle swarm optimization (PSO) is built.

The global transition toward sustainable transportation has led to an unprecedented surge in the adoption of Electric Vehicles (EVs) and Plug-in Hybrid ...

Abstract: Heat load prediction, as a key part of smart district heating system, is crucial for optimizing energy management, improving system efficiency and reducing operation cost. However, the ...

Most breaches don’t outsmart your stack; they walk through a permissive load balancer you tuned for speed instead of trust.