How to build an AI-powered content gap analysis workflow

See how to combine Semrush, Google Search Console, Google Analytics, and Claude to prioritize the content opportunities that ...

Large language model guides discovery of catalysts for clean energy tech

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...
csis.org

Large Load Reform: How Prepared Are U.S. Grid Operators for the AI Era?

On October 23, 2025, U.S. Secretary of Energy Chris Wright issued an Advanced Notice of Proposed Rulemaking (ANOPR) directing the Federal Energy Regulatory Commission (FERC) to reform and hasten the ...
Tech Xplore on MSN

Model reveals grid battery wear after 500 to 1,000 cycles in days

Energy storage is becoming critical to grid resilience and electricity affordability because battery systems can help balance ...
Frontiers

Integrating Climate and Geomorphology to Assess Sediment Load Responses in River Basins

The fluvial geomorphology field has long investigated the interplay between climate, hydrology, and sediment transport in river systems. Recent studies ...

AI reveals hidden San Andreas Fault movements

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...
IEEE

A Comparative Study of Gauss-Seidel, Fast Decoupled, and Newton-Raphson Methods for Power Flow Analysis in Microgrids

Abstract: Power flow analysis is a must while planning, designing and expanding power networks. There are various methods proposed in literature for power flow studies. In this work, power plow ...
IEEE

Short-Term Load Forecasting for Jordan Power System Based on NARX-ELMAN Neural Network and ARMA Model

Abstract: Over the past few years, there is a vast expansion of the Jordan National Energy Sector. Hence, National Electrical Power Company (NEPCO) sheds more light on load forecasting. It tries to ...