India needs to improve the way it forecasts power demand if it wants to inject more renewable energy into the grid while avoiding blackouts, according to Ghanshyam Prasad, chairman of the Central ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...

HARRISBURG, Pa. — The forecasts are eye-popping: utilities saying they’ll need two or three times more electricity within a few years to power massive new data centers that are feeding a fast-growing ...

A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

Industry Insight from Reuters Events, a part of Thomson Reuters. The AI boom has increased the challenge of forecasting power demand and revenue for new power generation facilities. July 1 - Surging ...