Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
HUB

Machine learning method could speed path to cleaner energy solutions

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 ...
Crude Oil Prices

Vertical Axis Wind Turbines Redefined by Machine Learning

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% ...
Drexel University

Machine Learning Shows Promise for Predicting Building Energy Use

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...
EurekAlert!

AI-optimized decision-making in energy systems: a new approach to integrating machine learning and mathematical programming

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...