G2TT
Machine Learning from Schools about Energy Efficiency  智库新闻
时间:2019-02-19   作者: Fiona Burlig;Christopher R. Knittel;David Rapson;Mar Reguant;Catherine Wolfram  来源:Center for Energy and Environmental Policy Research (United States)

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https://ceepr.mit.edu/publications/working-papers/697 

This working paper studies the effectiveness of energy efficiency upgrades in K-12 schools, and demonstrate that the machine learning method outperforms standard panel fixed effects approaches....

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