Engineering

Computation model paves the way for more efficient energy systems

About 70% of the energy we use in everyday life is wasted in the form of heat, produced by engines, factories, and electrical devices. However, researchers from EPFL's School of Engineering have made a significant theoretical ...

Engineering

Machine learning can support urban planning for energy use

As Philadelphia strives to meet greenhouse gas emissions goals established in its 2050 Plan, a better understanding of how zoning can play a role in managing building energy use could set the city up for success. Researchers ...

Energy & Green Tech

Using machine learning to find reliable and low-cost solar cells

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and machine learning-based ...

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