Presenting the latest data and policy recommendations, UN and international experts have called on governments and stakeholders to urgently prioritize action for universal access to electricity and ...

AI can deliver a high carbon ROI by optimizing energy efficiency, supporting electrification and scaling adoption.

Drawing inspiration from the veinous ears of jackrabbits and elephants, Drexel University researchers have come up with a new ...

Small tweaks to AI model size, prompt length, and compression techniques can deliver major energy savings, according to a new ...

While it is known that energy efficiency (EE) lowers power sector demand and emissions, study of the air quality and public health impacts of EE has been limited. Here, we quantify the air quality and ...

Emerging cloud computing applications place a growing demand on resources, leading to increasingly large data centers with significant energy consumption and carbon emissions. Various research conduct ...

Magnetic hysteresis loss (iron loss) is an important magnetic property that determines the efficiency of electric motors and ...

This paper analyzes and compares trends in energy efficiency, and looks for its main drivers for some of the largest renewable energy producing countries over 2009 and 2013. In a first stage, a DEA ...

Joshua New leads an Oak Ridge National Lab team that created a computer model of nearly every building in the United States.

The International Energy Agency (IEA) said achieving the global target to double energy efficiency progress needs industrial energy management. Nearly 200 countries at the COP28 climate change ...

Researchers from The University of Texas at Austin used machine learning and artificial intelligence to develop new materials ...

Neuromorphic computing, which mimics architecture of brain, could support growing energy demands of AI.