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 ...

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 ...

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 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 ...

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 ...

Novel research from Germany and the USA has analyzed the impact of heat pump (HP) integration on the ability of day-ahead load forecasting in energy communities. Using different models, the scientists ...

New vertical AI model combines electricity-price intelligence, load forecasting, computing scheduling and V2G resources to help lower power costs and unlock flexible grid capacity IRVINE, Calif., July ...

(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 ...

While there's little doubt electricity demand in Texas will continue to grow these next few years — especially with new data centers being constructed in hubs like Dallas-Fort Worth — determining just ...

Add Yahoo as a preferred source to see more of our stories on Google. Turbines from the Mount Storm wind farm stand behind Dominion Energy's Mount Storm power station in August 2022 in Mount Storm, ...