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t
h
e
y
ea
r
2
0
2
2
[
1
3
]
.
So
e
n
h
a
n
ci
n
g
t
h
e
co
n
s
u
m
p
tio
n
o
f
n
u
clea
r
e
n
er
g
y
ca
n
p
lay
a
v
er
y
p
o
s
itiv
e
r
o
le
in
o
b
tain
in
g
t
h
e
n
et
ze
r
o
e
m
is
s
io
n
g
o
als
[
1
4
]
.
Nu
clea
r
en
er
g
y
is
th
e
s
ec
o
n
d
lar
g
es
t
r
en
e
w
ab
le
en
er
g
y
s
o
u
r
ce
in
t
er
m
s
o
f
lo
w
e
m
i
s
s
io
n
[
1
5
]
.
I
n
t
h
e
U
n
ited
Ki
n
g
d
o
m
(
UK)
n
u
clea
r
e
n
er
g
y
w
ill
p
lay
a
m
aj
o
r
r
o
le
in
o
b
tain
in
g
n
et
ze
r
o
e
m
is
s
io
n
g
o
als
in
th
e
n
ea
r
f
u
tu
r
e
[
1
6
]
.
Fo
r
ec
a
s
tin
g
p
r
o
d
u
ctio
n
o
f
n
u
clea
r
e
n
er
g
y
b
y
v
ar
io
u
s
m
ac
h
in
e
lear
n
i
n
g
ap
p
r
o
ac
h
es
h
as
g
r
ad
u
all
y
in
cr
ea
s
ed
in
r
ec
en
t
y
ea
r
s
.
Ho
w
e
v
er
,
r
esear
ch
er
s
w
o
r
k
i
n
g
in
m
ac
h
in
e
lear
n
i
n
g
alg
o
r
it
h
m
s
ar
e
f
ac
i
n
g
s
o
m
e
o
b
s
tacle
s
in
p
r
ed
ictin
g
e
n
er
g
y
p
r
o
d
u
ctio
n
b
y
ti
m
e
s
er
ie
s
[
1
7
]
.
Fo
r
ec
asti
n
g
o
f
n
u
clea
r
en
er
g
y
is
v
i
tal
b
ef
o
r
e
g
o
i
n
g
to
n
u
c
lear
en
er
g
y
p
r
o
d
u
ctio
n
.
R
ec
en
tl
y
en
s
e
m
b
l
e
m
ac
h
i
n
e
-
lear
n
in
g
tec
h
n
iq
u
es
h
av
e
b
ee
n
u
s
ed
f
o
r
n
u
clea
r
p
o
w
er
en
er
g
y
[
17
]
.
I
n
th
is
s
t
u
d
y
,
n
u
clea
r
p
o
w
er
en
er
g
y
i
s
f
o
r
ec
asted
b
y
ex
tr
e
m
e
g
r
ad
ien
t
b
o
o
s
tin
g
(
XGb
o
o
t)
w
h
ic
h
is
v
er
y
i
m
p
r
ess
iv
e
in
ter
m
s
o
f
R
MSE
v
al
u
e.
T
h
o
u
g
h
t
h
e
f
o
r
ec
asti
n
g
n
u
clea
r
e
n
er
g
y
i
s
n
o
t
an
ea
s
y
tas
k
t
o
h
an
d
le,
t
h
i
s
r
esear
ch
s
t
u
d
y
wo
u
ld
h
elp
u
s
to
n
av
ig
ate
th
e
i
m
p
o
r
ta
n
ce
as
w
ell
as
th
e
p
o
ten
tialit
y
o
f
n
u
clea
r
en
er
g
y
to
m
it
ig
ate
t
h
e
cr
is
i
s
o
f
f
o
s
s
il
f
u
el
in
t
h
i
s
p
r
esen
t
w
o
r
l
d
.
2.
NUCL
E
AR
P
O
W
E
R
I
N
RO
M
ANIA
Nu
clea
r
p
o
w
er
i
n
R
o
m
a
n
ia
r
ep
r
esen
ts
a
s
ig
n
i
f
ica
n
t
co
m
p
o
n
en
t
o
f
t
h
e
co
u
n
tr
y
's
e
n
er
g
y
m
ix
,
co
n
tr
ib
u
ti
n
g
to
b
o
th
its
elec
tr
icit
y
g
en
er
atio
n
an
d
b
r
o
ad
er
ef
f
o
r
ts
to
r
ed
u
ce
g
r
ee
n
h
o
u
s
e
g
as
e
m
i
s
s
io
n
s
.
R
o
m
a
n
ia
'
s
j
o
u
r
n
e
y
i
n
to
n
u
cle
ar
en
e
r
g
y
b
e
g
an
i
n
t
h
e
m
id
-
20
th
ce
n
tu
r
y
,
d
u
r
in
g
a
p
er
io
d
w
h
e
n
m
a
n
y
n
at
io
n
s
w
er
e
ex
p
lo
r
in
g
n
u
clea
r
tech
n
o
lo
g
y
as
a
v
iab
le
o
p
tio
n
f
o
r
g
en
er
atin
g
elec
tr
icit
y
.
T
o
d
ay
,
R
o
m
an
ia
is
o
n
e
o
f
th
e
f
e
w
co
u
n
tr
ie
s
i
n
E
as
ter
n
E
u
r
o
p
e
th
at
s
u
cc
es
s
f
u
l
l
y
o
p
er
ates
a
n
u
clea
r
p
o
w
er
p
l
a
n
t,
n
a
m
el
y
t
h
e
C
er
n
a
v
o
d
ă
Nu
clea
r
P
o
w
er
P
lan
t.
L
o
ca
ted
in
t
h
e
s
o
u
t
h
ea
s
ter
n
p
ar
t
o
f
th
e
co
u
n
tr
y
,
o
n
th
e
b
an
k
s
o
f
th
e
Da
n
u
b
e
R
i
v
er
,
C
er
n
a
v
o
d
ă
h
as p
la
y
ed
a
cr
itica
l r
o
le
in
R
o
m
a
n
ia
'
s
e
n
er
g
y
p
o
lic
y
s
i
n
ce
it b
eg
a
n
o
p
er
atio
n
s
.
Fig
u
r
e
1
s
h
o
w
s
th
e
p
r
ev
ie
w
o
f
C
er
n
a
v
o
d
a
Nu
clea
r
P
o
w
er
P
lan
t
in
th
e
R
o
m
an
ia.
T
h
e
E
u
r
o
p
ea
n
C
o
m
m
is
s
io
n
h
as
g
i
v
e
n
a
f
av
o
r
ab
le
ass
ess
m
e
n
t
r
eg
ar
d
in
g
th
e
tech
n
ical
an
d
n
u
clea
r
s
af
et
y
asp
ec
ts
o
f
th
e
p
r
o
p
o
s
ed
co
n
s
tr
u
ctio
n
o
f
U
n
i
ts
3
an
d
4
at
R
o
m
an
ia
's
C
er
n
av
o
d
ă
Nu
clea
r
P
o
w
er
P
lan
t.
A
cc
o
r
d
in
g
to
th
e
cu
r
r
en
t
s
c
h
ed
u
le,
Un
it
3
is
ex
p
ec
ted
to
b
e
o
p
er
atio
n
al
b
y
2
0
3
0
,
w
it
h
Un
i
t
4
f
o
llo
w
i
n
g
in
2
0
3
1
.
I
n
ac
co
r
d
an
ce
w
it
h
t
h
e
E
u
r
ato
m
T
r
ea
ty
,
d
ev
elo
p
er
s
o
f
n
u
c
lear
p
r
o
j
ec
ts
ar
e
r
eq
u
ir
ed
to
in
f
o
r
m
t
h
e
E
u
r
o
p
ea
n
C
o
m
m
is
s
io
n
ab
o
u
t
th
eir
i
n
v
est
m
e
n
t
p
la
n
s
an
d
en
s
u
r
e
ad
h
er
en
ce
to
s
tr
in
g
en
t
n
u
clea
r
s
af
et
y
p
r
o
to
co
ls
.
E
n
er
g
o
n
u
clea
r
,
a
f
u
ll
y
o
w
n
ed
s
u
b
s
id
iar
y
o
f
R
o
m
an
ia
'
s
s
ta
te
-
o
w
n
ed
u
ti
lit
y
N
u
clea
r
elec
tr
ica,
f
o
r
m
a
ll
y
n
o
ti
f
ied
th
e
C
o
m
m
i
s
s
io
n
in
Ma
y
2
0
2
3
r
eg
ar
d
in
g
it
s
i
n
t
en
tio
n
to
b
u
i
ld
t
w
o
C
A
NDU
-
6
p
r
ess
u
r
ized
h
ea
v
y
w
ater
r
ea
cto
r
s
—
tech
n
o
lo
g
y
o
r
ig
in
ati
n
g
f
r
o
m
C
an
ad
a
—
f
o
r
Un
its
3
an
d
4
at
C
er
n
av
o
d
ă.
T
h
e
C
o
m
m
is
s
io
n
’
s
p
o
s
iti
v
e
r
esp
o
n
s
e,
as
h
ig
h
li
g
h
ted
b
y
N
u
clea
r
elec
tr
i
ca
,
f
o
llo
w
ed
a
co
m
p
r
eh
e
n
s
i
v
e
r
ev
ie
w
p
r
o
ce
s
s
,
w
h
ic
h
i
n
v
o
lv
ed
a
th
o
r
o
u
g
h
an
al
y
s
is
o
f
t
h
e
tech
n
ical
d
ata
p
r
o
v
id
ed
b
y
R
o
m
a
n
ia,
o
n
-
s
ite
in
s
p
ec
tio
n
s
at
C
er
n
a
v
o
d
ă,
an
d
a
s
er
ies
o
f
tech
n
ical
co
n
s
u
ltatio
n
s
o
v
er
t
h
e
co
u
r
s
e
o
f
1
3
m
o
n
t
h
s
.
T
h
e
c
o
m
m
i
s
s
io
n
co
n
cl
u
d
ed
th
at
th
e
p
r
o
j
ec
t
alig
n
s
w
it
h
th
e
o
b
j
ec
tiv
es o
u
tli
n
ed
in
t
h
e
E
u
r
ato
m
T
r
ea
ty
,
s
u
p
p
o
r
tin
g
t
h
e
co
m
p
letio
n
o
f
U
n
its
3
an
d
4
[
1
7
]
.
Fig
u
r
e
1
.
Un
its
3
&
4
in
C
er
n
a
v
o
d
a
Nu
clea
r
P
o
w
er
P
lan
t
[
1
7
]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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n
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J
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&
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m
p
Sci
,
Vo
l.
40
,
No
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1
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Octo
b
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20
25
:
78
-
84
80
Sp
en
t
n
u
clea
r
f
u
el
r
eq
u
ir
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s
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cu
r
e
s
to
r
ag
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v
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ex
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u
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to
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u
s
r
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d
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ea
t
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d
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ad
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.
T
o
m
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ate
t
h
e
s
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ef
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t
s
,
it
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s
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v
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le
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al
lo
w
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t
f
u
el
to
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e
m
ai
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i
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to
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g
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f
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a
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p
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if
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d
u
r
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b
ef
o
r
e
its
p
er
m
a
n
e
n
t
d
is
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T
h
e
t
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t
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m
m
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o
d
s
ar
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et
s
to
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an
d
d
r
y
s
to
r
ag
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I
n
So
u
th
Ko
r
ea
,
p
r
ess
u
r
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lig
h
t
w
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r
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s
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)
h
av
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u
tili
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d
f
o
r
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t
s
to
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e,
w
h
ile
th
e
r
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en
t
esta
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m
e
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t
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m
p
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d
r
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to
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p
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m
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b
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is
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p
o
o
ls
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e
s
et
at
5
,
1
0
,
1
5
,
an
d
3
0
y
e
ar
s
to
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al
y
ze
f
u
el
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eh
a
v
io
r
u
n
d
er
d
if
f
er
en
t
co
n
d
itio
n
s
.
A
k
e
y
p
ar
a
m
eter
in
th
is
ev
alu
a
tio
n
is
th
e
o
x
id
e
la
y
er
th
ick
n
e
s
s
,
w
h
ic
h
s
i
g
n
i
f
ica
n
tl
y
i
n
f
lu
e
n
ce
s
t
h
e
ch
ar
ac
ter
is
tic
s
o
f
s
p
en
t
n
u
clea
r
f
u
e
l
in
d
r
y
s
to
r
ag
e.
B
y
co
n
d
u
cti
n
g
th
ese
ass
es
s
m
e
n
t
s
,
it
b
ec
o
m
e
s
p
o
s
s
ib
le
to
d
eter
m
i
n
e
th
e
s
a
f
et
y
o
f
te
m
p
o
r
ar
y
d
r
y
s
to
r
ag
e,
w
h
ic
h
i
s
ex
p
ec
ted
to
last
ap
p
r
o
x
i
m
atel
y
5
0
y
ea
r
s
[
1
8
]
.
Du
e
to
t
h
eir
h
ig
h
p
o
w
e
r
d
en
s
it
y
,
ex
ten
d
ed
o
p
er
atio
n
al
lif
esp
an
,
an
d
ab
ilit
y
to
f
u
n
ctio
n
i
n
d
ep
en
d
en
tl
y
o
f
s
o
lar
illu
m
i
n
atio
n
,
s
p
ac
e
n
u
cl
ea
r
p
o
w
er
s
y
s
te
m
s
(
SNP
s
)
ar
e
r
eg
ar
d
ed
as
th
e
o
p
ti
m
al
p
r
o
p
u
ls
io
n
ch
o
ice
f
o
r
f
u
tu
r
e
s
p
ac
e
m
is
s
io
n
s
[
1
9
]
.
Giv
en
th
e
co
n
s
tr
ai
n
ts
o
f
lau
n
c
h
v
e
h
icle
ca
p
ab
ilit
ies,
t
h
e
m
ass
o
f
S
NP
s
m
u
s
t
b
e
m
i
n
i
m
ized
w
h
ile
en
s
u
r
in
g
eq
u
i
v
alen
t
p
er
f
o
r
m
a
n
ce
,
r
eq
u
ir
in
g
a
n
in
te
g
r
ated
o
p
tim
i
za
tio
n
o
f
v
ar
io
u
s
co
m
p
o
n
e
n
t
s
.
Ho
w
ev
er
,
d
ev
elo
p
in
g
d
etailed
d
esig
n
s
f
o
r
th
e
s
e
co
m
p
o
n
e
n
t
s
an
d
u
s
i
n
g
t
h
eir
ag
g
r
e
g
ated
m
a
s
s
e
s
f
o
r
iter
ativ
e
o
p
ti
m
izat
io
n
ca
n
b
e
b
o
th
co
s
tl
y
a
n
d
ti
m
e
-
co
n
s
u
m
i
n
g
,
p
ar
ticu
lar
l
y
i
n
th
e
ea
r
ly
s
ta
g
e
s
o
f
r
esear
ch
an
d
d
ev
elo
p
m
e
n
t
(
R
&
D)
.
T
h
er
e
f
o
r
e,
a
p
r
ec
is
e
an
d
ef
f
icien
t
m
o
d
el
is
es
s
en
t
ial
to
en
ab
le
ac
cu
r
ate
m
a
s
s
es
ti
m
a
ti
o
n
an
d
ass
es
s
th
e
i
n
f
l
u
en
ce
o
f
d
esig
n
p
ar
a
m
eter
s
o
n
o
v
er
all
s
y
s
te
m
m
a
s
s
[
2
0
]
.
Mo
s
t
esti
m
atio
n
m
eth
o
d
s
r
el
y
o
n
ass
u
m
p
tio
n
s
s
u
ch
as
a
co
n
s
tan
t
s
h
ie
ld
in
g
m
as
s
o
r
f
ix
ed
p
r
o
p
o
r
ti
o
n
alit
y
co
e
f
f
i
cien
ts
b
et
w
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n
s
h
ield
i
n
g
m
as
s
an
d
r
ea
cto
r
p
o
w
er
[
2
1
]
-
[
2
5
]
.
3.
M
E
T
H
O
D
T
h
e
d
ataset
u
s
ed
in
th
i
s
s
t
u
d
y
w
a
s
o
b
tain
ed
f
r
o
m
o
n
li
n
e
s
o
u
r
ce
Kag
g
le
w
h
ic
h
co
n
tai
n
s
4
6
,
011
s
a
m
p
les.
T
h
is
d
ataset
i
s
f
r
o
m
R
o
m
an
ia.
2
0
%
d
ata
w
a
s
k
e
p
t
f
o
r
v
alid
atio
n
w
o
r
k
.
I
n
th
i
s
d
ataset,
th
er
e
ar
e
s
ev
er
al
f
ea
tu
r
es
i
n
cl
u
d
in
g
w
i
n
d
,
g
as,
h
y
d
r
o
elec
tr
ic,
o
il,
co
al,
p
r
o
d
u
ctio
n
,
co
n
s
u
m
p
tio
n
,
n
u
clea
r
,
b
io
m
as
s
,
an
d
s
o
lar
.
W
e
c
o
n
s
id
er
ed
h
er
e
n
u
clea
r
en
er
g
y
p
r
o
d
u
ctio
n
.
T
h
e
m
ac
h
in
e
lear
n
in
g
ap
p
r
o
ac
h
ex
tr
e
m
e
g
r
ad
ien
t
b
o
o
s
t
(
XGB
o
o
s
t)
w
as
e
m
p
lo
y
ed
to
p
r
ed
ict
th
e
g
r
o
w
t
h
tr
en
d
s
.
R
o
o
t
m
ea
n
s
q
u
ar
e
er
r
o
r
(
R
MSE
)
w
a
s
ca
lc
u
lated
to
ch
ec
k
t
h
e
er
r
o
r
.
T
h
is
n
u
clea
r
d
ataset
h
as
b
ee
n
ch
ec
k
ed
u
p
f
o
r
f
itti
n
g
ab
ilit
y
w
it
h
t
h
e
ti
m
e
s
er
ies
m
o
d
el,
s
i
n
ce
d
ata
co
h
er
en
ce
in
ter
m
s
o
f
v
ar
ian
ce
is
v
er
y
i
m
p
o
r
tan
t
to
j
u
d
g
e.
T
h
e
R
MSE
er
r
o
r
ca
lcu
lati
o
n
h
as
b
ee
n
ca
r
r
ied
o
u
t
to
s
ee
t
h
e
p
r
o
b
ab
le
p
er
f
o
r
m
an
ce
o
f
t
h
e
t
i
m
e
s
er
ies
m
o
d
el
in
ter
m
s
o
f
p
r
ed
ictio
n
ac
c
u
r
ac
y
.
O
n
to
p
o
f
t
h
is
,
th
e
iter
ati
o
n
s
f
o
r
m
ea
s
u
r
e
m
en
t
o
f
ac
cu
r
ac
y
p
er
f
o
r
m
a
n
ce
p
lay
a
v
ital
r
o
le
f
o
r
ac
h
i
ev
in
g
th
e
p
r
o
b
ab
le
p
r
ed
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n
ca
p
ab
ilit
y
.
Fo
r
th
i
s
p
u
r
p
o
s
e,
th
e
to
tal
ep
o
ch
s
h
a
v
e
b
ee
n
co
n
s
id
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as
t
w
o
t
h
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s
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d
w
h
ich
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r
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v
es
th
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ac
cu
r
ac
y
i
n
ter
m
s
o
f
th
e
v
alid
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lo
s
s
.
4.
RE
SU
L
T
ANAL
YSI
S
C
o
r
r
elatio
n
o
f
f
ea
t
u
r
es
i
n
th
e
d
ataset
is
s
h
o
w
n
in
Fig
u
r
e
2
.
I
t
is
s
ee
n
in
t
h
i
s
f
i
g
u
r
e
t
h
at
o
il
an
d
g
as,
b
io
m
a
s
s
h
a
s
a
s
tr
o
n
g
co
r
r
elatio
n
w
it
h
th
e
n
u
clea
r
en
er
g
y
p
r
o
d
u
ctio
n
.
C
o
n
s
u
m
p
tio
n
o
f
n
u
clea
r
en
er
g
y
v
ar
ied
f
r
o
m
4
,
000
MW
to
9
,
0
0
0
MW
in
t
h
e
y
ea
r
o
f
r
ec
e
n
t
f
iv
e
y
ea
r
s
f
r
o
m
2
0
1
9
to
2
0
2
4
w
h
ic
h
i
s
s
h
o
w
n
in
Fi
g
u
r
e
3
an
d
it
is
f
o
u
n
d
i
n
th
e
s
t
u
d
y
a
v
er
ag
e
co
n
s
u
m
p
tio
n
o
f
n
u
clea
r
en
er
g
y
w
as
6
,
587
MW
w
h
er
ea
s
th
e
p
r
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d
u
ctio
n
o
f
n
u
clea
r
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n
er
g
y
v
ar
ie
s
f
r
o
m
3
,
3
1
5
to
9
,
8
8
6
MW
as r
e
p
r
esen
ted
in
Fig
u
r
e
4
w
i
th
s
tan
d
ar
d
d
ev
iatio
n
9
8
6
.
P
r
o
d
u
ctio
n
o
f
n
u
clea
r
en
er
g
y
i
s
m
ea
s
u
r
ed
o
n
an
h
o
u
r
l
y
,
d
ail
y
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d
m
o
n
th
l
y
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asi
s
.
W
h
ich
i
s
r
ef
lecte
d
in
th
e
Fig
u
r
e
s
5
-
7
.
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t
is
s
ee
n
t
h
at
p
r
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d
u
ctio
n
is
m
ax
i
m
u
m
a
t
6
h
o
u
r
s
an
d
n
o
p
r
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d
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n
a
t
1
0
h
o
u
r
s
.
W
ee
k
-
b
ased
p
r
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d
u
ctio
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i
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h
est
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n
Sat
u
r
d
a
y
w
h
ic
h
is
1
,
300
MW
.
I
n
Fig
u
r
e
4
m
o
n
th
l
y
p
r
o
d
u
ctio
n
g
r
ap
h
s
h
o
ws
th
at
J
an
u
ar
y
to
A
p
r
il
a
n
d
Se
p
te
m
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er
to
Dec
e
m
b
er
ar
e
b
et
w
ee
n
1
,
3
0
0
MW
to
1
,
400
MW
.
T
h
e
R
MSE
is
d
ef
in
ed
i
n
th
e
f
o
llo
w
in
g
w
a
y
:
R
M
SE
=
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h
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p
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o
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th
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i
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s
er
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atio
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n
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m
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s
er
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atio
n
s
,
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u
m
b
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f
p
a
r
a
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eter
s
esti
m
ate
w
i
th
co
n
s
ta
n
t.
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u
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d
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at
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Usi
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ith
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ay
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5
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s
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4
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u
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u
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Vo
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B
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M
r
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p
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u
m
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r
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s
h
a
s
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d
in
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tern
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l
Un
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sin
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d
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t.
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th
a
t
h
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w
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in
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h
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rsity
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Cu
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la
a
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tu
re
r.
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o
b
tai
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e
d
m
y
B
S
c
(Ho
n
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m
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s)
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(BUET
).
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re
se
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w
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m
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m
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n
d
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stica
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a
n
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ly
sis
.
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c
a
n
b
e
c
o
n
tac
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m
a
il
:
d
il
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p
k
d
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s@
iu
b
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t.
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d
u
.
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r
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m
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w
d
h
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sista
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th
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d
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tri
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lec
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in
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e
rin
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tern
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ti
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l
U
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rsity
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f
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sin
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ss
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g
ricu
lt
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re
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d
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e
c
h
n
o
lo
g
y
,
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a
,
Dh
a
k
a
,
B
a
n
g
lad
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sh
(ww
w
.
iu
b
a
t.
e
d
u
).
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w
a
s
b
o
r
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in
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i
tt
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g
o
n
g
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S
u
m
a
n
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o
w
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ry
h
a
s
c
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p
lete
d
h
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s
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th
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y
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a
r
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ro
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it
tag
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g
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icip
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h
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d
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in
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ro
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t
c
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n
h
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p
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d
h
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c
h
e
lo
r
o
f
S
c
ien
c
e
in
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tri
c
a
l
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d
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e
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tro
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g
in
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ri
n
g
fro
m
Kh
u
ln
a
Un
iv
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rsity
o
f
En
g
in
e
e
rin
g
&
a
m
p
;
T
e
c
h
n
o
lo
g
y
(KU
ET
)
in
2
0
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2
.
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a
c
h
iev
e
d
M
e
rit
/T
e
c
h
n
ica
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c
h
o
lars
h
ip
in
se
v
e
ra
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ti
m
e
s
f
ro
m
KU
ET
a
n
d
o
t
h
e
rs
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d
u
c
a
ti
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l
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n
stit
u
ti
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n
.
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e
a
lso
c
o
m
p
lete
d
M
a
ste
r
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f
S
c
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c
e
(M
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S
c
.
)
in
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c
tri
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l
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d
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lec
tro
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rin
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ro
m
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k
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Un
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f
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g
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g
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d
T
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c
h
n
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o
g
y
(D
UET
)
in
2
0
2
0
.
He
h
a
s
s
u
p
e
rv
ise
d
a
g
o
o
d
n
u
m
b
e
r
o
f
stu
d
e
n
ts
in
P
ra
c
ti
c
u
m
a
n
d
T
h
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sis.
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h
a
s
p
u
b
li
sh
e
d
o
v
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r
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0
re
se
a
rc
h
p
a
p
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n
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ter
n
a
ti
o
n
a
l
Co
n
f
e
re
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c
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s
a
n
d
Jo
u
rn
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ls.
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re
se
a
rc
h
a
re
a
s
in
c
lu
d
e
b
u
il
d
i
n
g
in
teg
ra
ted
p
h
o
to
v
o
lt
a
ic,
re
n
e
wa
b
le
e
n
e
rg
y
,
b
io
m
e
d
ica
l
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n
g
in
e
e
rin
g
,
d
ig
it
a
l
sig
n
a
l
p
ro
c
e
s
sin
g
,
im
a
g
e
p
ro
c
e
ss
in
g
.
H
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
su
m
a
n
@iu
b
a
t.
e
d
u
.
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