A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

In an era of increasing penetration of renewable energy and enhanced complexity in electrical networks, dynamic load modelling has emerged as a crucial research area. This approach involves developing ...