We apply a novel method of uncertainty parametrization and analysis to time-series data of recent supply and demand projections for the United States' energy sector. Based on determinations of the actual uncertainties in past forecasts (1983-1990) of over 170 energy producing and consuming sectors of the U. S. economy we develop a simple one-parameter model that can be used to estimate a probability distribution for future projections.