首页|Investigators at University of Illinois Discuss Findings in Machine Learning (En ergy Efficiency Can Deliver for Climate Policy: Evidence From Machine Learning-b ased Targeting)
Investigators at University of Illinois Discuss Findings in Machine Learning (En ergy Efficiency Can Deliver for Climate Policy: Evidence From Machine Learning-b ased Targeting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Urbana, Illinois, by NewsRx journali sts, research stated, "Building energy efficiency has been a cornerstone of gree nhouse gas mitigation strategies for decades. However, impact evaluations have r evealed that energy savings typically fall short of engineering model forecasts that currently guide funding decisions." Financial supporters for this research include Alfred P. Sloan Foundation, Illin ois Department of Commerce and Economic Opportunity's Illinois Home Weatherizati on Assistance Program, European Research Council (ERC). The news correspondents obtained a quote from the research from the University o f Illinois, "This creates a resource allocation problem that impedes progress on climate change. Using data from the Illinois implementation of the U.S.'s large st energy efficiency program, we demonstrate that a data -driven approach to pre dicting retrofit impacts based on previously realized outcomes is more accurate than the status quo engineering models."
UrbanaIllinoisUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesEngineeringMachine Learnin gUniversity of Illinois
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