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% ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
Know how AI-agents in the grid optimize peer-to-peer pricing. Learn how automated trading bots within the energy stack ...
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 ...
Digital twins, private 5G networks and federated learning help energy companies improve grid resilience, optimize distributed assets and strengthen real-time operational performance.
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