Dataset: resid_energy.dat

Source: A. Kialashaki and J.R. Reisel (2013). "Modeling of the Energy Demand
of the Residential Sector in the United States Using Regression Models and
Artificial Neural Networks," Applied Energy, Vol. 108, pp. 271-280.

Description: Factors relating to US residntial sector energy consumption
(Y, im millions of billions of BTUs) for years 1984-2010. Predictors:
Resident Population (X1, in millions), Gross domestic product (X2, in 
trillions of $), household size (X3, persons), median hhold income (X4,
in 1000s of 2010 dollars), cost of residential electricity (X5, in
dollars per million BTUs), cost of residential natural gas (X6, in
dollars per million BTUs), cost of residential heating oil (X7, in 
dollars per million BTUs) 


Variables/Columns
Year    5-8
Resident population    10-16
GDP    18-24
Household Dize 26-32
Median hhold income    34-40
Cost of Residential Electricity   42-48
Cost of residential natural gas   50-56
Cost of Residential Heating Oil   58-64
Residental energy consumption    66-72