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asti
n
g
p
o
w
er
lo
ad
d
ata
ac
q
u
ir
ed
as o
f
Natio
n
al
C
o
n
tr
o
l Cen
ter
(
NC
C
)
f
o
r
Min
i
n
i
s
tr
y
o
f
I
r
aq
E
lectr
ical
p
o
w
er
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
Fo
r
clar
if
y
a
n
d
s
i
m
p
lici
t
y
o
f
g
i
v
in
g
t
h
e
d
y
n
a
m
ic
s
y
s
te
m
s
o
f
s
i
n
g
le
-
in
p
u
t
s
i
n
g
le
-
o
u
tp
u
t
th
at
ar
e
ex
a
m
in
ed
in
t
h
is
p
ap
er
.
T
h
e
in
p
u
t
s
i
g
n
al
i
s
d
esig
n
ated
b
y
u
,
th
e
s
i
g
n
al
o
f
o
u
tp
u
t
i
s
d
e
s
ig
n
ated
b
y
y
.
T
h
e
p
r
esen
ted
s
a
m
p
li
n
g
in
s
ta
n
t
is
d
e
s
ig
n
ated
b
y
k
.
T
h
e
E
l
m
an
r
ec
u
r
r
en
t
n
e
u
r
al
n
et
w
o
r
k
in
Fi
g
u
r
e
1
d
is
p
la
y
s
th
e
f
o
r
m
o
f
t
h
e
E
l
m
a
n
n
e
u
r
al
n
et
w
o
r
k
m
e
th
o
d
.
T
h
e
n
et
w
o
r
k
h
as
o
n
e
in
p
u
t
co
n
n
ec
ted
w
it
h
th
e
in
p
u
t
s
i
g
n
al
o
f
th
e
o
p
er
atio
n
f
r
o
m
t
h
e
p
r
ec
ed
in
g
s
a
m
p
li
n
g
i
n
s
ta
n
t,
i.e
.
u
(
N
-
1
)
,
N
th
e
h
id
d
en
n
e
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r
o
n
s
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er
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h
a
tr
an
s
f
er
f
u
n
ctio
n
in
n
o
n
li
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r
φ
:
R
→
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,
o
n
e
n
eu
r
o
n
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d
w
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th
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n
e
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u
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k
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t
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th
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(
v
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ar
e
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ce
s
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ed
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o
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h
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le
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elay
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ck
s
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h
e
n
o
d
es
o
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n
p
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t
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al
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r
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h
e
n
et
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th
at
m
ea
n
s
t
h
at
t
h
e
n
et
w
o
r
k
h
as
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+1
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h
e
n
o
d
es
o
f
i
n
p
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t
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1
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,
v
_
1
(
N
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1
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,
….
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v
_
N
(
N
-
1
)
.
T
h
e
s
ec
o
n
d
la
y
er
w
eig
h
t
s
o
f
th
e
n
et
w
o
r
k
a
r
e
d
e
s
ig
n
ated
b
y
w
_
i^(
(
2
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)
f
o
r
i=0
,
….
.
,
N
,
th
e
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ir
s
t
la
y
er
w
ei
g
h
t
s
o
f
t
h
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n
et
w
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r
k
w
_
(
i,j
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^(
(
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f
o
r
i=
1
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,
N,
,
j
=
0
,
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,
N
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.
B
o
th
lay
er
s
h
av
e
a
n
ad
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itio
n
al
u
n
i
t
y
s
i
g
n
al
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b
ias
s
i
g
n
a
l
)
.
SVR
is
u
s
e
f
u
l
to
u
s
e
a
ti
m
e
s
e
r
ies ap
p
r
o
ac
h
in
r
ec
o
n
s
tr
u
ct
t
h
e
elec
tr
icit
y
lo
ad
f
o
r
ec
asti
n
g
d
y
n
a
m
ic
s
.
Fig
u
r
e
1
.
E
l
m
an
n
eu
r
al
n
et
w
o
r
k
s
tr
u
ctu
r
e
I
n
I
r
aq
,
th
e
p
o
w
er
g
en
er
atio
n
is
n
’
t
s
u
f
f
icien
t
t
h
e
p
o
w
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d
e
m
an
d
b
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au
s
e
th
e
w
ar
s
,
ad
m
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is
tr
ativ
e
co
r
r
u
p
tio
n
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a
s
w
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as
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lap
s
e
o
f
t
h
e
tr
an
s
m
i
s
s
io
n
li
n
e
s
[
3
]
.
So
th
e
s
h
u
t
d
o
w
n
i
n
th
e
p
o
w
er
s
y
s
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s
p
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b
le
m
th
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i
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tr
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f
elec
tr
ical
i
n
I
r
aq
b
u
t ta
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le
f
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r
s
h
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t
d
o
w
n
p
ar
tl
y
esp
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y
i
n
w
i
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ter
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s
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m
m
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s
ea
s
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s
.
I
n
t
h
i
s
ca
s
e
t
h
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esti
m
ated
lo
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s
f
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r
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f
f
ic
u
lt
w
ith
ab
s
e
n
ce
t
h
e
w
h
o
le
d
ata.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J
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I
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N:
2
0
8
8
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P
r
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th
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d
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s
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fo
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4005
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o
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elin
g
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a
m
ic
p
r
o
ce
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s
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d
id
b
y
u
s
i
n
g
n
e
u
r
al
n
et
w
o
r
k
s
[
4
,
5
]
.
T
h
e
Mu
lt
i
-
L
a
y
er
P
er
ce
p
tr
o
n
(
ML
P
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et
w
o
r
k
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s
ed
w
it
h
o
n
e
h
id
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en
la
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er
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h
e
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et
w
o
r
k
w
it
h
R
ad
ial
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as
is
Fu
n
ctio
n
s
(
R
B
F)
is
u
s
ed
m
u
c
h
less
f
r
eq
u
e
n
tl
y
.
T
h
e
n
e
u
r
al
s
tr
u
ctu
r
e
s
o
f
Bo
th
R
B
F
an
d
M
L
P
ar
e
in
f
ac
t
s
tat
ic
ap
p
r
o
x
i
m
a
t
io
n
s
.
T
h
e
d
y
n
a
m
ic
s
is
ap
p
lied
in
to
th
e
s
ta
tic
n
et
w
o
r
k
s
b
y
s
e
n
d
i
n
g
t
h
e
v
a
lu
e
s
o
f
t
h
e
in
p
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d
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tp
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t
s
i
g
n
als
f
r
o
m
s
o
m
e
p
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ce
id
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g
s
a
m
p
li
n
g
in
s
tan
ts
to
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e
i
n
p
u
t n
o
d
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f
th
e
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et
w
o
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k
w
h
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th
e
y
ar
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s
ed
f
o
r
d
y
n
a
m
ic
m
o
d
e
lin
g
p
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ce
s
s
es
.
An
ab
s
o
r
b
in
g
alter
n
ati
v
e
to
ap
p
r
o
x
i
m
atio
n
s
o
f
s
tat
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n
eu
r
al
w
it
h
d
ela
y
li
n
e
s
is
to
u
s
e
r
ec
u
r
r
en
t n
e
u
r
a
l
n
et
w
o
r
k
s
[
5
,
6
]
th
at
ar
e
d
y
n
a
m
ic
m
o
d
el
s
b
y
n
a
tu
r
e.
On
e
w
ell
-
k
n
o
w
n
ca
s
e
o
f
r
ec
u
r
r
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t
n
eu
r
al
n
et
w
o
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k
s
i
s
E
l
m
a
n
n
e
u
r
al
n
et
w
o
r
k
[
7
,
8
]
.
I
n
t
h
e
r
ec
u
r
r
en
t
E
l
m
a
n
n
e
u
r
al
n
et
w
o
r
k
[
7
]
th
er
e
is
n
o
ad
d
itio
n
al
ti
m
e
-
d
ela
y
,
w
h
ile
m
an
y
o
f
p
r
o
ce
s
s
e
s
o
f
te
ch
n
o
lo
g
ical
d
y
n
a
m
ic
,
in
p
ar
ticu
lar
in
c
h
e
m
ical,
f
o
o
d
an
d
p
etr
o
ch
e
m
ical
.
Ko
s
a
y
A
.
S.
Ma
j
b
o
r
,
Qais
M.
A
l
ias
,
a
n
d
Kad
h
i
m
M.
Su
la
i
m
a
n
p
r
o
p
o
s
ed
to
s
o
lv
e
th
e
p
r
o
b
lem
o
f
u
n
ce
r
tai
n
t
y
o
f
t
h
e
lo
ad
f
o
r
ec
ast
th
at
i
s
p
ar
tl
y
d
u
e
to
t
h
e
s
u
d
d
en
r
is
e
in
t
h
e
co
n
s
u
m
er
b
u
y
i
n
g
p
o
w
er
w
ith
t
h
e
elec
tr
icit
y
g
e
n
er
atio
n
d
e
f
icit.
T
h
ey
w
o
r
k
ed
o
n
lo
ad
f
o
r
ec
asti
n
g
f
o
r
I
r
ea
q
p
o
w
er
n
e
t
w
o
r
k
f
o
r
w
h
o
le
o
f
y
ea
r
s
w
it
h
t
h
e
av
er
g
i
n
g
m
et
h
o
d
an
d
th
e
m
i
n
i
m
u
m
–
m
a
x
i
m
u
m
.
T
h
eir
r
esu
lts
o
b
tain
ed
clo
s
e
t
o
th
e
ad
o
p
ted
lo
a
d
f
o
r
ec
asts
f
o
r
y
ea
r
s
w
it
h
h
ig
h
v
alu
e
in
er
r
o
r
b
u
t th
e
y
d
id
n
’
t g
e
t e
s
ti
m
atio
n
f
o
r
f
u
tu
r
e
y
ea
r
s
[
9
]
.
Dr
.
A
d
el
M.
Dak
h
il
p
r
o
p
o
s
ed
to
d
ev
elo
p
elec
tr
ic
lo
ad
f
o
r
ca
s
tin
g
w
it
h
s
h
o
r
t
ter
m
b
y
n
eu
r
al
n
et
w
o
r
k
d
ep
en
d
ed
o
n
h
is
to
r
ical
s
er
ies
o
f
p
o
w
er
d
e
m
an
d
t
h
e
n
e
u
r
al
n
et
w
o
r
k
ch
o
s
e
n
i
f
f
ee
d
f
o
e
w
ar
d
n
et
w
o
r
k
i
n
(
d
ail
y
h
o
u
r
,
th
e
w
ee
k
l
y
d
a
y
a
n
d
lo
ad
o
f
th
e
p
r
ev
io
u
s
h
o
u
r
)
,
th
is
m
e
th
o
d
w
a
s
g
o
o
d
ac
cu
r
ac
y
a
n
d
r
o
b
u
s
t in
f
o
r
ec
asti
n
g
b
u
t it
n
o
t i
n
clu
d
ed
f
o
r
f
u
t
u
r
e
esti
m
atio
n
[
1
0
]
.
T
h
e
p
ep
er
s
h
o
w
t
h
e
s
o
l
u
tio
n
t
h
e
p
r
o
b
le
m
s
o
f
p
o
w
er
d
e
m
a
n
d
f
o
r
ec
ast
f
o
r
(
h
o
u
r
o
f
d
a
y
s
a
n
d
d
a
y
s
o
f
w
ee
k
a
n
d
w
ee
k
d
o
f
m
o
n
t
h
s
a
n
d
esti
m
atio
n
f
o
r
f
u
t
u
r
e
y
ea
r
)
,
th
e
w
o
r
k
w
it
h
E
l
m
a
n
n
e
u
r
al
n
et
w
o
r
k
w
as
v
er
y
clo
s
e
to
th
er
r
e
al
w
ith
m
i
n
i
m
u
m
er
r
o
r
.
T
h
e
E
lm
an
n
eu
r
al
n
et
w
o
r
k
is
v
er
y
g
o
o
d
m
et
h
o
d
to
esti
m
ate
th
e
r
ea
l
v
alu
e
a
n
d
w
it
h
v
alid
atio
n
w
e
c
an
esti
m
ate
t
h
e
f
u
t
u
r
e
at
an
y
ti
m
e
o
r
an
y
d
a
y
o
f
n
e
x
t
y
ea
r
s
.
3.
E
L
M
AN
NE
URA
L
N
E
T
WO
RK
AL
G
O
R
I
T
H
M
W
h
er
e
(
)
(
N
)
s
tan
d
s
f
o
r
th
e
o
u
t
p
u
t
s
i
g
n
al
s
o
f
co
n
s
ec
u
ti
v
e
h
id
d
en
n
o
d
es
(
=
1
,
…
.
.
,
)
,
(
)
=
1
.
On
e
h
a
s
(
)
=
φ
(
(
)
)
(
1)
w
h
er
e
th
e
s
ig
n
al
s
s
u
m
o
f
th
e
ℎ
h
id
d
en
n
o
d
e
is
(
)
=
,
0
(
1
)
+
,
1
(
1
)
(
−
)
+
∑
,
+
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I
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I
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
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N:
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4009
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F
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NC
E
S
[1
]
S
.
F
a
n
a
n
d
L
.
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e
n
,
“
S
h
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rt
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ter
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se
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1
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.
[2
]
J.
Na
g
i,
e
t
a
l.
,
“
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c
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m
p
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tatio
n
a
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4
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.
[3
]
A
.
I.
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s
m
a
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l
,
“
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ff
-
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rid
El
e
c
tr
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Ge
n
e
ra
ti
on
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y
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Re
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e
wa
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le
En
e
rg
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h
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o
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n
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q
:
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n
A
p
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o
f
Ho
m
e
r.
”
[4
]
M
.
T
.
Ha
g
a
n
,
e
t
a
l.
,
“
Ne
u
ra
l
n
e
tw
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rk
d
e
sig
n
,
P
W
S
P
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b
,
”
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o
.
,
Bo
st
o
n
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v
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3
6
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,
1
9
9
6
.
[5
]
S
.
Ha
y
k
in
,
“
N
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ra
l
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rk
s:
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c
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1
9
9
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.
[6
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S
.
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so
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s
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re
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n
ted
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t
th
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Oficy
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w
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ic
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2
0
0
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.
[7
]
J.
L
.
El
m
a
n
,
“
F
in
d
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g
stru
c
tu
re
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n
ti
m
e
,
”
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e
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1
4
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p
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.
1
7
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,
1
9
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0
.
[8
]
J.
A
.
Ch
a
m
b
e
rs,
“
Re
c
u
rre
n
t
n
e
u
ra
l
n
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tw
o
rk
s
f
o
r
p
re
d
ictio
n
:
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rn
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a
lg
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rit
h
m
s,
a
rc
h
it
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c
tu
re
s
a
n
d
sta
b
il
it
y
,”
W
il
e
y
,
2
0
0
1
.
[9
]
K
.
A
.
S
.
M
a
jb
o
r,
e
t
a
l.
,
“
T
h
e
I
ra
q
i
G
rid
El
e
c
tri
c
a
l
De
m
a
n
d
:
Qu
e
stio
n
a
b
le
F
o
re
c
a
st,”
Al
ma
’mo
o
n
c
o
ll
e
g
e
.
J
.
El
e
c
trica
l
a
n
d
E
lec
tro
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ic E
n
g
i
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rin
g
,
2
0
1
7
.
[1
0
]
A
.
M
.
Da
k
h
il
,
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S
h
o
rt
T
e
rm
L
o
a
d
F
o
re
c
a
stin
g
Ba
se
d
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ra
l
Ne
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