AI represents a huge opportunity for grid operators facing a rapidly changing load landscape, but there is little room for error. Moving away from trusted legacy ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

The Federal Energy Regulatory Commission (FERC) on Sept. 18 advanced four reliability measures for the U.S. bulk power system (BPS), formalizing frameworks around supply chain risk, cloud computing ...

Add Yahoo as a preferred source to see more of our stories on Google. A low-angle view of a steel power transmission tower. Photo: Jason Richard / Unsplash (The Center Square) – With AI-powered data ...

The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...

“For energy providers with their fickle raw materials, the only way to manage uncertainty is a detailed and timely understanding of energy supply and demand,” writes Evgeny Finkel. Image: Tigo Energy ...

Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...

Electricity is produced by a variety of generating units, each with different lead times and costs to be readied for service, and production costs once brought online. Because electricity is a ...

(The Center Square) – With AI-powered data centers rapidly driving up demand for electricity, predicting future needs is essential for planning the region and ensuring a reliable and affordable power ...