The Demand for Electricity and Natural Gas in the Northeastern United States

A neuro-fuzzy algorithm for improved gas consumption forecasting with economic, environmental and IT/IS indicators

“…Balestra and Nerlove (1966) used time series data and statistical techniques to estimate demand of natural gas. In this regard, Beierlein et al (1981) used seemingly unrelated regression estimation to estimate the natural gas consumption in northeastern United States. Herbert et al (1987) employed regression analysis, whereas Herbert (1987) used linear regression model and residual analysis.…”

The Effect of Poverty Status and Public Housing Residency on Residential Energy Consumption in the U.S.

“…The price elasticities estimated in these studies are between -0.1 and -0.3 in the short run and close to -1 in the long run, while the income elasticities are from 0.1 to 0.5 in the short run and from 0.7 to 1.8 in the long run. Due to mounting evidence in these studies that electricity demand differs significantly by region and state, other studies adopt a much narrower geographic focus while still using aggregated data (Acton, Mitchell, and Mowill, 1976;Murray, Spann, Pulley, and Beauvais, 1978;Beierlein, Dunn, and McConnon, 1981). Price elasticities in these studies are from -0.1 to -0.8 in the short run and about -0.7 in the long run, while income elasticities are from 0 to 0.7 in the short run and about 0.4 in the long run.…”

Time series analysis applied to construct US natural gas price functions for groups of states

“…Log-linear relationships are widely used in natural gas regression analysis because, most often, the calculation of elasticities is important part of the econometric analysis, and logarithmic terms make it easier to find the elasticity values numerically (Gowdy, 1983). Because of that, price and consumption volumes involved in logarithmic expressions are often found in econometric models (Beierlein et al, 1981;Lin et al, 1987;Krichene, 2002;Yoo et al, 2009). Nevertheless, not only loglinear terms are used in the regression analysis aimed at calculation of elasticities (Liu, 1983).…”