AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...
Rapid deployment of renewable energy has reduced emissions but introduced new operational challenges. Solar and wind power ...
As is our end of year tradition, we’ve gathered together some industry spokespeople to tell us what they think the biggest ...
Interesting Engineering on MSN
EVs get smarter: Physical AI helps autonomous cars detect loss of control in real time
New physical AI system helps electric vehicles detect loss of control in real time, improving stability and autonomous ...
A research team affiliated with UNIST has introduced a technology that generates electricity from raindrops striking rooftops ...
A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
The Elastic Stack integrated with NetEye offers Machine Learning (ML) jobs that assist in analyzing observability data. These ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback