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 ...

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 ...

EPFL researchers developed optimal pitch profiles for vertical-axis wind turbines using a genetic learning algorithm. The new pitch profiles resulted in a 200% increase in turbine efficiency and a 77% ...

Digital twins, private 5G networks and federated learning help energy companies improve grid resilience, optimize distributed assets and strengthen real-time operational performance.