Machine Learning can be used to improve energy use in cities

The City of Philadelphia has set a goal of halving GHG emissions from the built environment by 2030. Carbon reduction programs aimed at the business and residential building sectors are a top priority, as commercial buildings and facilities are the region’s single most significant contribution to Greenhouse gas emissions(GHG)

The College of Engineering at Drexel University researchers are attempting to forecast how energy use will change as neighborhoods change. They are using a machine learning model they developed to help them.

source: https://www.techexplorist.com/machine-learning-used-improve-energy-use-cities/60013/