Abstract: The Python Testbed for Federated Learning Algorithms is a simple Python FL framework that is easy to use by ML&AI developers who do not need to be professional programmers and is also ...

Artificial intelligence continues to be the central force behind the upcoming productivity revolution. Yet in the US, foundational energy constraints threaten to stall progress. The primary obstacle ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

Researchers at Sandia National Laboratories have developed AI algorithms to detect physical problems, cyberattacks and both at the same time within the grid. “As more disturbances occur, whether from ...

We need to investigate whether the DFS propagation algorithm described in RFC 2094 was ever truly implemented in rustc's historical versions, rather than just being a prototype or design-stage concept ...

A research team from Swiss research institute ETH Zurich has created a new algorithm for operating inverters in a grid-forming mode. The patented algorithm operates the inverter as a voltage source, ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...