C. Baghelai et al., UNCERTAINTY IN THE NATIONAL ENERGY MODELING SYSTEM .2. ANALYSIS OF RESULTS, Journal of energy engineering, 121(3), 1995, pp. 125-148
This is the second of two papers on characterizing the uncertainty pre
sent in key elements of the U.S. Department of Energy's new National E
nergy Modeling System. The theory behind the assessment procedures dev
eloped was described in the first paper, and the current work presents
the Important numerical results and analyses of our experiments, all
done as a collaborative effort between the Energy Information Administ
ration the Washington Consulting Group, and the School of Information
Technology and Engineering of George Mason University. The method test
ing involved the three most important National Energy Modeling System
submodel types, namely, linear optimization, econometric, and heuristi
c or balance equations. The results of using the uncertainty procedure
s on the Energy Information Administration's transportation sector dem
and and petroleum market models are provided here.