Engie’s Smart O&M platform uses AI, IoT, and predictive analytics to transform facility management from reactive to proactive ...

As the last of more than 1,100 scientific presentations wrap up today at the Bilbao Exhibition Center, pv magazine shares a few takeaways from an event that puts the latest solar technologies under ...

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts ...

Cross-border energy trade shields nations from fossil fuel shocks, supply risks, and regional instability. A High Voltage ...

AI is no longer on the fringe of utility operations, it’s embedded in the field, in control rooms, and increasingly, in the ...

In part 2 of our two-part series on generative artificial intelligence's environmental impacts , MIT News explores some of ...

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...

Rotary equipment monitoring at 10 refining and other facilities at Reliance Industries in India evaluated and modeled 1,095 ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

As electrical utilities implement sensors for infrastructure monitoring, IT will become more central to their operations.

1. Equipment Operation and Maintenance: From 'Passive Repair' to 'Active Warning' ...