Opinions expressed by Digital Journal contributors are their own. Renewable energy is seen as the way forward across the world. The shift away from reliance on finite energy sources, such as coal and ...

Machine learning models can analyze extensive data to determine the best locations for geothermal drilling, reducing exploration costs. AI-powered drilling technology could make geothermal energy more ...

Utility-scale battery energy storage systems (BESS) are growing rapidly across the U.S., with installations increasing 196% in the past year alone. The most common use case for BESS is for frequency ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

Artificial intelligence on the edge has been evolving in the tech sector, and its impact on the energy sector is undeniable. With promises of optimizations and efficiency improvements, ...

Frederick University and Electi Consulting Ltd have successfully completed the technical implementation of the DYNAMO ...

A recent study published in Nature Materials examined how machine learning is used to reveal the atomic mechanisms of argyrodites, which could open the doors for a new age of energy storage. This is ...

Both renewable and traditional energy applications rely on large-scale equipment often located in extreme environments. Precision in the small details keeps these operations up and running. Renewable ...