IEEE

Machine-Learning-Based Adaptive Anomaly Detection for Control Feedback Interferences in Solid-State Transformers

Abstract: Solid-state transformer (SST)-based power substations have emerged as a pivotal innovation for integrating distributed generation and energy storage systems within modern grid. However, SSTs ...
SDxCentral

Fly.io debuts Sprites: Persistent VMs that let AI agents keep their state

CEO Kurt Mackey argues that traditional, stateless containers are unsuited for evolving AI agents, which need persistent, ...

Federal court upholds California’s new congressional districts in a victory for Democrats

In a victory for Gov. Gavin Newsom and the Democratic Party, a federal court ruled California can use its newly configured ...
The Gazette

Replay: Iowa Gov. Kim Reynolds’ 2026 Condition of the State address

Iowa Gov. Kim Reynolds delivered her ninth Condition of the State address to the Iowa Legislature tonight. Following the ...
IEEE

Comparative Analysis of State of Charge Estimation Methods for Li-Ion Batteries Using Kalman Filter Variants and Machine Learning Techniques for Electric Vehicle Applications

Abstract: State of Charge (SoC) measurement accuracy stands as a fundamental requirement to boost both safety and power performance together with energy efficiency in Battery Management Systems (BMS) ...