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 in Drexel University's College of Engineering are hoping a machine learning model they've developed can support these efforts by helping to predict how energy consumption will change as neighborhoods evolve.

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