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 energy sector faces growing complexity and demand, but AI offers a transformative solution by optimizing energy systems, ...

The sun sets behind a Brazos Electric Power Cooperative substation near Rhome, Texas, on June 19, 2023. ERCOT has projected that power demand will increase rapidly in the next five years. TOM FOX / ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

Water demand forecasting is an indispensable element in the sustainable management of water resources, as growing populations and climatic uncertainties intensify the pressure on water supplies.

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 ...

Energy Forecasting, Electricity, Renewable Energy, Energy Planning, Demand Smoothing Share and Cite: Mishra, S. , Sharma, M.

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

Artificial Intelligence (AI) is now a major force in the U.S. economy. The rapid expansion of data centers in the United States has emphasized the challenges facing the U.S. electricity sector, which ...

The IEA cut its 2025 oil demand growth forecast by 300,000 bpd. Escalating trade tensions are negatively impacting the global economic outlook. The IEA warns of a "bumpy ride" and considerable ...