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 ...

The expansion of large language models (LLMs) is creating a new problem for power grids: electricity demand from AI data ...

Combines Novi's AI-driven upstream forecasting with RBN's commodity, midstream, and demand intelligence in a single ...

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...

In its latest short term energy outlook (STEO), which was released on November 12, the U.S. Energy Information Administration (EIA) lowered its U.S. total energy consumption forecast for 2025 and 2026 ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

The reliability watchdog dropped its forecast for ERCOT’s net internal demand by 3.7 GW, or 4.6%, compared with last summer, ...

Officials with the Electric Reliability Council of Texas said last week that the state’s energy demand could reach nearly 368 gigawatts by 2032 — enough energy to power more than 73 million homes on a ...

In its latest short term energy outlook (STEO), which was released on December 9, the U.S. Energy Information Administration (EIA) raised its U.S. total energy consumption forecast for 2025. According ...

Inflated projections for data center energy demands could lock the US into unnecessary, costly fossil fuel projects and pollution. Inflated projections for data center energy demands could lock the US ...