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NEMS / Energy Information Administration / Electricity market / Energy / Energy in the United States / National Energy Modeling System / Electric power distribution


Microsoft Word - nems_equations_final
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Document Date: 2014-12-11 20:16:05


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File Size: 1,29 MB

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Company

Lawrence Berkeley National Laboratory / BT / EIA / /

Country

United States / /

Facility

University of California / /

IndustryTerm

energy demand / energy conservation / electricity / power sector primary energy use / annual energy savings / fuel/technology / natural gas / annual electricity end-use demand / electricity demand / energy sector / reduced natural gas demand / post-processing methods / impact estimates product / energy supply / water-heating energy use / reference case solution / electricity savings / electricity use / natural gas capacity / site electricity demand reduction / multi-cycle algorithm / energy forecast model / technology type / energy / /

Organization

University of California / Andrew Sturges Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Lab / U.S. Department of Energy / U.S. Government / DOE EIA / National Impacts Analysis chapter / Lawrence Berkeley National Lab / Energy Information Administration / office of Basic Energy Sciences / office of Science / United States Government / /

Person

Lawrence Berkeley / Katie Coughlin / Andrew Sturges / Peter Chan / Brian McDevitt / /

Position

author / Director / /

ProvinceOrState

California / /

Technology

multi-cycle algorithm / Simulation / /

SocialTag