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Quality of life (QoL)
modelling in terms of energy
consumption
Reza Nadimi
PhD student
Supervisor: Professor Koji Tokimatsu
Tokyo Institute of Technology
Outline of Presentation
• Observable variables
• Latent Variable (QoL)
Factor Analysis
• QoL Indicator
• Ecpc/Elcpc
Sigmoid Function
• World countries Classification
• QoL variation against Energy usage
Model Application
Non-Linear Function
Linear Function
QoL Indicator Sigmoid Model Model Application
Research scopeNo. of Country: 112
Year: 2005-2013
Variables: Observable VS Non-observable
Energy Consumption
Qo
L
?
QoL Indicator Sigmoid Model Model Application
Variables
Economy
GDP GNI
Health
IMR IWA LEB
Education
MYS
UnitCurrent US $
(Per Capita)
Log10(…)
Deaths (0-1 year)/
1000 live births
Year%
QoL Indicator Sigmoid Model Model Application
Factor Analysis (fa)
Q.L fa(six variables) = f ( GDP, GNI, IMR, IWA, LEB, MYS)
Data Normalization via Feature Scaling
Correlation Matrix
Factor Loadings (Eigenvector*Square Root (Eigenvalue) )
QoL Indicator Sigmoid Model Model Application
Q.L fa(six var.) = f11 * GDP + f21 * GNI + f31 * IMR + f41 * IWA + f51 * LEB + f61 * MYS
Q.Lfa (…)
fP1 : Factor Loadings with the Highest Eigenvalue
QoL Indicator Sigmoid Model Model Application
Q.L fa(6 Var.) = 0.916*GDP+0.921*GNI- 0.920*IMR+ 0.749*IWA+ 0.900*LEB+0.814*MYS
(Year 2013)
Q.Lfa (six var.): Normalization via Feature Scaling
Energy Consumption
Qo
L I
nd
ica
tor
Model?
Variables
QoL Indicator ECpc
(Energy Consumption per
capita)
Elcpc (Electricity
Consumption per capita)
Unitkg of oil equivalent
per capita
Log10(ECpc)
%kWh per capita
Log10(Elcpc)
QoL Indicator Sigmoid Model Model Application
{Residential,
Industry,
Transport}
{Industry,
Residential,
Transport}
{Transport,
Industry,
Residential}
QoL Indicator Sigmoid Model Model Application
Commercial?Energy
Poverty
Eco-
Efficiency
Eco-
Sufficiency
HD
I
ECpc (kg of oil, 2007, Source: GEA)
Energy Consumption Pathway
Co
nsu
mp
tion
Rate