Voltage stability assessment is essential for maintaining reliable power grid operations. Stability assessment approaches using deep learning address the shortfalls of the traditional time-domain ...

Conceptual architecture of federated learning for smart-grid intrusion detection. The illustration shows a three-tier structure—local, edge, and central levels—where model updates are aggregated ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Artificial Intelligence (AI) is now a major force in the U.S. economy. The rapid expansion of data centers in the United States has emphasized the challenges facing the U.S. electricity sector, which ...

Massive data centers are pushing energy demand higher. Some people claim that AI will be a net benefit for the grid. The rising popularity of AI is driving an increase in electricity demand so ...

PEMBROKE PINES, FLORIDA - MAY 16: High voltage power lines run along the electrical power grid on May 16, 2024, in Pembroke Pines, Florida. The grid is strained by increasing demand from ...

According to the U.S. National Renewable Energy Laboratory (NREL), a microgrid is a group of interconnected loads and distributed energy resources (DERs) that acts as a single controllable entity to ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A bipartisan group of governors wants a larger seat at the table of PJM Interconnection, the regional electric grid operator that has had issues getting clean and affordable energy sources onto the ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...