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Renewable Energy and Efficiency Technologies in Scenarios of U.S. Decarbonization in Two Types of Models: Comparison of GCAM Modeling and Sector-Specific Modeling

descriptionPublicationkeyboard_double_arrow_right Report 01 Dec 2022Publisher:Office of Scientific and Technical Information (OSTI)

Authors:

Matthew Binsted; Harry Suchyta;

Ying Zhang;

Laura Vimmerstedt;

Matt Mowers; Catherine Ledna;

Matteo Muratori; +1 Authors

doi: 10.2172/1903177

Renewable Energy and Efficiency Technologies in Scenarios of U.S. Decarbonization in Two Types of Models: Comparison of GCAM Modeling and Sector-Specific Modeling

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Pacific Northwest National Laboratory
United States
Pacific Northwest National Laboratory
United States
National Renewable Energy Laboratory
United States
National Renewable Energy Laboratory
United States

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average