A hierarchical Bayesian regression model for predicting summer residential electricity demand across the U.S.A.

Energy ◽  
2017 ◽  
Vol 140 ◽  
pp. 601-611 ◽  
Author(s):  
Siyan Wang ◽  
Xun Sun ◽  
Upmanu Lall
2020 ◽  
Vol 12 (05) ◽  
pp. 182-192 ◽  
Author(s):  
Serge Guefano ◽  
Jean Gaston Tamba ◽  
Louis Monkam ◽  
Beguide Bonoma

Author(s):  
Sabyasachi Mukhopadhyay ◽  
Joseph O. Ogutu ◽  
Gundula Bartzke ◽  
Holly T. Dublin ◽  
Hans-Peter Piepho

1986 ◽  
Vol 15 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Thomas H. Stevens ◽  
Gail Adams

The demand for electricity in the residential sector is estimated to have become less elastic for the recent period of rising real prices as compared to earlier periods of stable or falling real price. Several possible reasons for this are investigated and we conclude that demand appears to be asymmetric with respect to price in both the short and long run. We then examine whether or not this is an important factor for forecast accuracy and public policy.


2011 ◽  
Vol 11 (3) ◽  
pp. 185-201 ◽  
Author(s):  
Gabriel Nuñez-Antonio ◽  
Eduardo Gutiérrez-Peña ◽  
Gabriel Escarela

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