A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...

The term firefighter switch indicates a remotely controllable DC Disconnect with which the DC side of a photovoltaic system in proximity of the modules (or directly below the cable outlet) can be ...

Investment Will Accelerate IND Technology’s North American Expansion and Deployment of Its Industry-Leading EFD™ System to Prevent Outages, Protect Infrastructure and Improve Grid Reliability ...

Modified transformer model with one encoder and two decoders. Image Credit: Zi-Cheng W. et al. An essential part of a building’s energy consumption is the HVAC systems; however, they are prone to ...

Members can download this article in PDF format. High-voltage systems serve applications ranging from renewable-energy generation to industrial motor control. Such systems require precise control to ...

A recent study has made a significant step forward in improving the energy efficiency of buildings by enhancing the accuracy and adaptability of fault detection and diagnosis (FDD) in heating, ...

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...

CURRENT Group, LLC has announced advanced distribution current sensing and remote underground (URD) fault detection. Using the three components of a Smart Grid -- high-speed communications, embedded ...

From autonomous vehicles to optical testing, these sensors bring high performance infrared detection into real-world systems.