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Vo
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12
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3
,
Dec
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b
er
2
0
1
8
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ag
e
te
m
p
er
atu
r
e
a
n
d
m
a
x
i
m
u
m
te
m
p
er
atu
r
e.
T
h
e
esti
m
atio
n
w
a
s
also
f
o
u
n
d
to
b
e
ac
cu
r
ate
an
d
ef
f
icie
n
t.
I
n
th
i
s
s
t
u
d
y
,
a
h
y
b
r
id
W
T
-
ANFI
S
ap
p
r
o
ac
h
is
in
v
esti
g
ated
f
o
r
h
o
r
izo
n
tal
s
o
lar
r
ad
iatio
n
p
r
ed
ictio
n
i
n
Ni
g
er
ia
u
s
i
n
g
th
e
a
v
ailab
le
m
eteo
r
o
lo
g
ical
d
ata.
A
d
a
p
tiv
e
Neu
r
o
-
Fu
zz
y
I
n
f
er
en
ce
S
y
s
te
m
(
A
NFI
S)
co
u
p
led
w
it
h
w
a
v
elet
tr
a
n
s
f
o
r
m
(
W
T
)
ar
e
u
tili
ze
d
f
o
r
s
o
lar
r
ad
iatio
n
p
r
ed
ictio
n
in
Ni
g
er
ia.
Mo
n
th
l
y
m
ea
n
s
u
n
s
h
i
n
e
h
o
u
r
s
,
m
in
i
m
u
m
te
m
p
er
at
u
r
e,
m
a
x
i
m
u
m
te
m
p
er
a
tu
r
e
a
n
d
r
elati
v
e
h
u
m
id
it
y
w
e
r
e
u
s
ed
a
s
t
h
e
in
p
u
t
w
h
ile
s
o
lar
r
ad
iatio
n
is
u
s
ed
as
th
e
o
u
tp
u
t.
A
N
FIS
is
u
s
ed
to
tr
ain
an
d
tes
t
d
ata
f
o
r
th
e
p
r
ed
ictio
n
w
h
ile
t
h
e
W
T
is
u
s
ed
b
ef
o
r
e
th
e
p
r
ed
ictio
n
to
clea
n
t
h
e
d
ata.
A
N
F
I
S
is
a
s
tr
o
n
g
an
d
r
eg
u
lar
l
y
u
s
ed
h
y
b
r
id
l
o
g
ical
s
y
s
te
m
w
h
ic
h
co
m
b
i
n
es
t
h
e
r
ep
r
esen
tatio
n
o
f
f
u
zz
y
lo
g
ic
an
d
th
e
lear
n
in
g
r
u
le
o
f
n
e
u
r
al
n
et
w
o
r
k
.
A
N
FIS
h
a
s
b
ee
n
ex
te
n
s
i
v
el
y
e
x
p
lo
ited
b
y
s
e
v
er
al
r
esear
ch
er
s
[5
]
,
[
13
-
16]
,
f
o
r
h
o
r
izo
n
tal
s
o
lar
r
ad
iatio
n
an
d
o
th
er
en
g
i
n
ee
r
i
n
g
ap
p
licatio
n
s
.
WT
is
a
s
i
g
n
a
l
p
r
o
ce
s
s
in
g
to
o
l
u
s
ed
in
d
ec
o
m
p
o
s
in
g
a
n
d
r
ec
o
n
s
tr
u
cti
n
g
s
i
g
n
als
o
r
d
ata
in
to
d
if
f
er
e
n
t
f
r
eq
u
e
n
c
y
co
m
p
o
n
e
n
t
s
[
2
0
]
.
T
h
e
m
ai
n
o
b
j
ec
tiv
e
o
f
th
is
s
t
u
d
y
i
s
to
p
r
o
p
o
s
e
a
n
e
w
WT
-
A
N
FIS
ap
p
r
o
ac
h
an
d
i
n
v
est
i
g
ate
it
s
e
f
f
icie
n
c
y
a
n
d
ac
c
u
r
ac
y
f
o
r
h
o
r
izo
n
tal
s
o
lar
r
ad
iatio
n
p
r
ed
ictio
n
i
n
Nig
er
ia.
T
h
e
o
b
tain
ed
r
es
u
lt
s
ar
e
co
m
p
ar
ed
w
it
h
ANFI
S
m
o
d
el
an
d
o
th
er
e
x
i
s
ti
n
g
m
o
d
els
[5
]
,
[
11
]
,
[
12
]
,
[
15
]
an
d
[
17]
f
o
r
v
alid
atio
n
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
Stu
dy
L
o
ca
t
i
o
n
I
n
t
h
is
s
t
u
d
y
,
th
e
m
eteo
r
o
lo
g
ical
d
ata
u
s
ed
w
as
r
ec
o
r
d
ed
at
Ni
g
er
ian
m
e
teo
r
o
lo
g
ical
ag
e
n
c
y
(
NI
ME
T
)
Kan
o
,
Ni
g
er
ia,
w
it
h
lo
n
g
i
tu
d
e
1
2
.
0
0
2
2
N
an
d
la
titu
d
e
8
.
9
5
2
E
[
1
8
]
.
1
0
y
ea
r
s
d
ata
r
an
g
i
n
g
f
r
o
m
(
2
0
0
2
-
2
0
1
2
)
w
er
e
f
o
r
th
e
ANFI
S
-
W
T
m
o
d
el
tr
ain
i
n
g
a
n
d
test
in
g
.
T
h
e
m
eteo
r
o
lo
g
ica
l
d
ata
u
s
ed
f
o
r
th
is
s
tu
d
y
h
as
s
tr
o
n
g
co
r
r
elatio
n
w
ith
h
o
r
izo
n
tal
s
o
lar
r
ad
iatio
n
,
w
h
ic
h
in
cl
u
d
es
m
in
i
m
u
m
te
m
p
er
atu
r
e,
m
ax
i
m
u
m
te
m
p
er
at
u
r
e,
r
elati
v
e
h
u
m
id
it
y
a
n
d
s
u
n
s
h
i
n
e
h
o
u
r
s
.
T
h
e
h
o
r
izo
n
tal
s
o
lar
r
ad
iatio
n
f
o
r
Ka
n
o
at
latitu
d
e
1
2
.
0
0
2
2
N
an
d
lo
n
g
itu
d
e
8
.
9
5
2
E
w
as
o
b
tain
ed
f
r
o
m
Natio
n
a
l
ae
r
o
n
au
tic
s
an
d
s
p
ac
e
ad
m
i
n
is
tr
atio
n
NAS
A
[
9]
.
T
h
e
d
ata
w
as
d
i
v
i
d
ed
to
t
w
o
f
o
r
b
o
th
t
h
e
tr
a
i
n
i
n
g
p
h
ase
an
d
te
s
ti
n
g
p
h
ase.
7
0
%
o
f
t
h
e
d
ata
w
er
e
u
s
ed
f
o
r
tr
ain
i
n
g
an
d
3
0
%
w
er
e
u
s
ed
f
o
r
test
i
n
g
.
2
.
2
Wa
v
elet
T
ra
ns
f
o
r
m
W
av
elet
tr
an
s
f
o
r
m
i
s
a
s
i
g
n
a
l
p
r
o
ce
s
s
in
g
to
o
l
u
s
ed
in
d
ec
o
m
p
o
s
i
n
g
s
ig
n
als
o
r
d
ata
in
t
o
d
if
f
er
e
n
t
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
ts
.
I
t
h
as
a
w
id
e
ap
p
licatio
n
i
n
E
n
g
i
n
ee
r
in
g
an
d
s
cie
n
ti
f
ic
ap
p
licatio
n
s
[
2
0
,
2
1
]
esp
ec
iall
y
w
h
er
e
d
ata
a
n
d
s
i
g
n
a
l
a
n
al
y
s
i
s
ar
e
r
eq
u
ir
ed
.
W
av
elet
is
u
s
ed
to
d
ec
o
m
p
o
s
e
t
i
m
e
s
er
ies
s
i
g
n
al
in
to
ap
p
r
o
x
im
a
te
a
n
d
d
etail
co
m
p
o
n
en
t
s
to
r
ed
u
ce
t
h
e
v
ar
iatio
n
b
et
w
e
e
n
t
h
e
d
ata
s
er
ies
[
2
2
,
2
3
]
I
n
W
T
r
esu
lts
o
f
th
e
an
a
l
y
s
is
ar
e
r
ec
o
n
s
tr
u
cte
d
f
o
r
f
u
r
t
h
er
an
al
y
s
i
s
u
s
i
n
g
in
v
er
se
-
W
T
.
Dep
en
d
in
g
o
n
t
h
e
ap
p
licatio
n
,
th
e
d
ec
o
m
p
o
s
itio
n
a
n
d
r
ec
o
n
s
tr
u
c
tio
n
i
s
i
n
to
lev
el
s
,
a
n
d
b
ased
o
n
s
elec
tio
n
o
f
a
n
ap
p
r
o
p
r
iate
m
o
t
h
er
w
a
v
elet,
illu
s
tr
ated
in
Fi
g
u
r
e
1
.
Fig
u
r
e
1
.
E
x
a
m
p
le
o
f
f
o
u
r
Mo
th
er
w
av
ele
ts
f
u
n
ctio
n
s
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ate
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12
(
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(
1
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n
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n
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D
n
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2
(
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etc,
ar
e
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,
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1
(
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tb
W
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s
t
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t
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a
(
2
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W
h
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e
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m
o
t
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is
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co
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n
(
3
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it
h
t
h
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p
ar
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n
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o
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s
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22
11
(
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,
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tb
s
t
a
b
d
a
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a
a
(
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Fig
u
r
e
2
.
T
w
o
lev
el
s
w
av
e
let
d
ec
o
m
p
o
s
itio
n
an
d
r
ec
o
n
s
tr
u
ct
io
n
d
iag
r
a
m
s
2
.
3
.
Ada
ptiv
e
Neuro
-
F
uzzy
I
nfe
re
nce
Sy
s
t
e
m
A
N
FIS
w
as
f
ir
s
t
d
ev
elo
p
ed
b
y
J
.
S
R
o
g
er
in
t
h
e
y
ea
r
1
9
9
3
b
y
co
m
b
i
n
i
n
g
f
u
zz
y
lo
g
ic
s
y
s
te
m
an
d
n
eu
r
al
n
et
w
o
r
k
[
2
4
]
.
T
h
e
ANFI
S
is
a
f
o
r
m
o
f
n
e
u
r
al
n
et
w
o
r
k
t
h
at
f
u
n
ct
io
n
s
l
ik
e
th
e
S
u
g
u
e
n
o
-
t
y
p
e
“
Í
F….T
HE
N”
f
u
zz
y
i
n
f
er
e
n
c
e
s
y
s
te
m
r
u
le
b
ei
n
g
a
n
et
w
o
r
k
s
tr
u
c
tu
r
e
an
d
is
co
n
s
id
er
ed
to
b
e
m
o
r
e
ef
f
ic
ien
t
th
an
th
e
in
d
i
v
id
u
a
l
n
e
u
r
al
n
et
w
o
r
k
o
r
f
u
zz
y
lo
g
ic
s
y
s
te
m
,
i
t
p
r
o
v
id
es
m
o
r
e
o
p
ti
m
al
s
o
lu
t
io
n
th
a
n
a
n
y
o
f
t
h
e
t
w
o
s
y
s
te
m
[
2
5
]
.
A
t
y
p
ica
l
ANFI
S
s
tr
u
c
tu
r
e
is
p
r
ese
n
ted
in
F
ig
u
r
e
3
w
it
h
t
w
o
i
n
p
u
t
s
x
an
d
y
an
d
o
n
e
o
u
tp
u
t
f
,
it
also
co
n
s
is
t
o
f
f
iv
e
la
y
er
s
w
ith
ea
ch
la
y
er
h
a
v
i
n
g
d
if
f
er
en
t
f
u
n
ctio
n
.
T
h
e
A
NFI
S
u
s
ed
f
o
r
th
i
s
s
tu
d
y
co
m
p
r
is
e
s
o
f
f
o
u
r
i
n
p
u
ts
a
n
d
a
s
in
g
le
o
u
tp
u
t.
E
ac
h
o
f
t
h
e
f
iv
e
la
y
er
s
co
n
s
is
t
o
f
n
o
d
es,
th
e
n
o
d
es
o
n
ea
ch
la
y
e
r
p
er
f
o
r
m
t
h
e
s
a
m
e
f
u
n
ctio
n
s
.
1.
I
f
x
is
A
1
an
d
y
i
s
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F
ig
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12
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[
29
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3
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[
28]
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Fi
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W
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is
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p
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ti
m
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at
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ated
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m
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th
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ig
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s
[
2
2
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.
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ased
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s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
12
,
No
.
3
,
Dec
em
b
er
2
0
1
8
:
9
0
7
–
9
1
5
914
r
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tr
o
n
g
l
in
ea
r
r
elatio
n
w
it
h
h
o
r
izo
n
ta
l
s
o
lar
r
ad
iatio
n
an
d
ar
e
r
ea
d
ily
av
ai
lab
le
at
th
e
m
eteo
r
o
lo
g
ical
s
ta
tio
n
i
n
Ni
g
er
ia.
T
h
e
d
ev
elo
p
ed
WT
-
A
N
F
I
S
m
o
d
el
p
r
o
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es
to
b
e
g
o
o
d
m
o
d
el
f
o
r
h
o
r
izo
n
tal
s
o
lar
r
ad
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n
p
r
ed
ictio
n
.
T
h
e
s
tatis
tical
v
al
u
es
o
f
t
h
e
M
AP
E
,
R
MSE
an
d
R
²
o
b
tain
ed
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r
e
0
.
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2
,
0
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8
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1
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an
d
0
.
9
8
8
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r
esp
ec
tiv
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y
.
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ase
d
o
n
th
e
v
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lu
e
s
o
f
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²
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s
ed
f
o
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m
p
ar
is
o
n
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et
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ee
n
t
h
e
d
e
v
elo
p
ed
m
o
d
el
an
d
th
e
v
a
lid
ated
m
o
d
els,
th
e
W
T
-
A
NFI
S
s
h
o
w
b
etter
ac
cu
r
ac
y
a
n
d
p
er
f
o
r
m
an
ce
.
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l
s
o
,
b
y
ad
d
in
g
m
o
r
e
m
eteo
r
o
lo
g
ical
d
ata
m
o
r
e
p
r
ed
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n
ac
cu
r
ac
y
i
s
attai
n
ed
.
W
ith
th
e
o
b
tain
ed
r
esu
lts
,
i
t
in
d
icate
s
t
h
at
th
e
ad
d
itio
n
o
f
W
T
f
o
r
d
ata
d
e
co
m
p
o
s
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tio
n
a
n
d
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ec
o
n
s
tr
u
cti
o
n
i
m
p
r
o
v
e
s
th
e
ANFI
S
m
o
d
el
ac
cu
r
ac
y
f
o
r
h
o
r
izo
n
tal
s
o
lar
r
ad
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n
p
r
e
d
ictio
n
.
Mo
r
e
m
eteo
r
o
lo
g
ical
d
ata
w
ill
b
e
co
n
s
id
er
ed
in
f
u
t
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r
e
s
tu
d
y
a
n
d
n
e
w
m
o
d
el
s
w
ill b
e
d
ev
elo
p
ed
u
s
i
n
g
n
e
w
s
o
f
t c
o
m
p
u
ti
n
g
tech
n
iq
u
es.
ACK
NO
WL
E
D
G
E
M
E
NT
T
h
e
au
th
o
r
s
ar
e
t
h
an
k
f
u
l
to
Un
i
v
er
s
iti
T
ek
n
o
lo
g
i
Ma
la
y
s
i
a
f
o
r
p
r
o
v
id
in
g
I
n
ter
n
atio
n
al
Do
cto
r
al
Fello
w
s
h
ip
(
I
DF)
a
w
ar
d
to
th
e
s
tu
d
en
t a
n
d
th
e
ir
co
n
tin
u
o
u
s
s
u
p
p
o
r
t
.
RE
F
E
R
E
NC
E
S
[1
]
K.
M
o
h
a
m
m
a
d
i,
S
.
S
h
a
m
sh
irb
a
n
d
,
A
.
S
.
Da
n
e
sh
,
M
.
S
.
A
b
d
u
ll
a
h
,
a
n
d
M
.
Zam
a
n
i,
"
Te
m
p
e
ra
tu
re
-
b
a
se
d
e
stim
a
ti
o
n
o
f
g
lo
b
a
l
so
lar
ra
d
iatio
n
u
sin
g
so
f
t
c
o
m
p
u
ti
n
g
m
e
th
o
d
o
lo
g
ies
,
"
T
h
e
o
re
ti
c
a
l
a
n
d
A
p
p
li
e
d
Cli
ma
t
o
lo
g
y
,
V
o
l
1
2
1
,
p
p
.
1
-
1
2
,
2
0
1
5
.
[2
]
A
.
T
ra
b
e
a
a
n
d
M
.
M
.
S
h
a
lt
o
u
t,
"
Co
rre
latio
n
o
f
g
lo
b
a
l
so
lar
ra
d
iatio
n
w
it
h
m
e
teo
ro
lo
g
ica
l
p
a
ra
m
e
te
rs
o
v
e
r
Eg
y
p
t,
"
Ren
e
wa
b
le E
n
e
rg
y
,
v
o
l.
2
1
,
p
p
.
2
9
7
-
3
0
8
,
2
0
0
0
.
[3
]
K.
Ch
it
e
k
a
a
n
d
C.
En
w
e
re
m
a
d
u
,
"
P
re
d
ictio
n
o
f
g
lo
b
a
l
h
o
rizo
n
tal
so
lar
irrad
ian
c
e
in
Zi
m
b
a
b
w
e
u
sin
g
a
rti
f
icia
l
n
e
u
ra
l
n
e
tw
o
rk
s,"
J
o
u
rn
a
l
o
f
Clea
n
e
r P
ro
d
u
c
ti
o
n
,
v
o
l
.
1
3
5
,
p
p
.
7
0
1
-
7
1
1
,
2
0
1
6
.
[4
]
M.
A
la
m
,
S
.
K.
S
a
h
a
,
M
.
C
h
o
w
d
h
u
ry
,
M
.
S
a
if
u
z
z
a
m
a
n
,
a
n
d
M
.
R
a
h
m
a
n
,
"
S
i
m
u
latio
n
o
f
so
lar
ra
d
i
a
ti
o
n
sy
ste
m
,
"
Ame
ric
a
n
J
o
u
r
n
a
l
o
f
Ap
p
li
e
d
S
c
ie
n
c
e
s,
v
o
l.
2
,
p
p
.
7
5
1
-
7
5
8
,
2
0
0
5
.
[5
]
L
.
Ola
to
m
i
w
a
,
S
.
M
e
k
h
il
e
f
,
S
.
S
h
a
m
sh
irb
a
n
d
,
a
n
d
D.
P
e
tk
o
v
ic,
"
Ad
a
p
ti
v
e
n
e
u
ro
-
f
u
z
z
y
a
p
p
ro
a
c
h
f
o
r
so
lar
ra
d
iatio
n
p
re
d
ictio
n
i
n
Nig
e
ria,"
Ren
e
wa
b
le
&
S
u
sta
in
a
b
le
En
e
rg
y
Rev
iews
,
v
o
l.
5
1
,
p
p
.
1
7
8
4
-
1
7
9
1
,
No
v
2
0
1
5
.
[6
]
F
.
Be
sh
a
ra
t,
A
.
A
.
D
e
h
g
h
a
n
,
a
n
d
A
.
R.
F
a
g
h
ih
,
"
Em
p
iri
c
a
l
m
o
d
e
ls
f
o
r
e
sti
m
a
ti
n
g
g
lo
b
a
l
so
lar
ra
d
iatio
n
:
A
re
v
ie
w
a
n
d
c
a
se
stu
d
y
,
"
Ren
e
wa
b
le a
n
d
S
u
sta
i
n
a
b
le E
n
e
rg
y
Rev
iews
,
v
o
l.
2
1
,
p
p
.
7
9
8
-
8
2
1
,
2
0
1
3
.
[7
]
J.
L
.
Ch
e
n
a
n
d
G
.
S
.
L
i,
"
Esti
m
a
ti
o
n
o
f
m
o
n
th
ly
a
v
e
ra
g
e
d
a
il
y
so
lar rad
iatio
n
f
ro
m
m
e
a
su
re
d
m
e
t
e
o
ro
lo
g
ica
l
d
a
ta i
n
Ya
n
g
tze
Riv
e
r
Ba
sin
in
C
h
in
a
,
"
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Cl
ima
t
o
l
o
g
y
,
v
o
l.
3
3
,
p
p
.
4
8
7
-
4
9
8
,
2
0
1
3
.
[8
]
J.
W
u
,
C.
K.
Ch
a
n
,
Y.
Zh
a
n
g
,
B.
Y.
X
io
n
g
,
a
n
d
Q.
H.
Z
h
a
n
g
,
"
P
re
d
ictio
n
o
f
so
lar
ra
d
iatio
n
w
it
h
g
e
n
e
ti
c
a
p
p
ro
a
c
h
c
o
m
b
in
g
m
u
lt
i
-
m
o
d
e
l
f
ra
m
e
w
o
rk
,
"
Ren
e
wa
b
le E
n
e
r
g
y
,
v
o
l.
6
6
,
p
p
.
1
3
2
-
1
3
9
,
2
0
1
4
.
[9
]
M
.
T
rn
k
a
,
Z.
Žalu
d
,
J.
Ei
tzin
g
e
r,
a
n
d
M
.
Du
b
ro
v
sk
ý
,
"
G
lo
b
a
l
so
lar
ra
d
iatio
n
i
n
Ce
n
tral
E
u
ro
p
e
a
n
lo
w
lan
d
s
e
sti
m
a
ted
b
y
v
a
rio
u
s em
p
iri
c
a
l
f
o
rm
u
lae
,
"
Ag
ric
u
lt
u
r
a
l
a
n
d
Fo
re
st
M
e
teo
ro
lo
g
y
,
v
o
l
.
1
3
1
,
p
p
.
5
4
-
7
6
,
2
0
0
5
.
[1
0
]
G
.
H.
Ha
r
g
re
a
v
e
s
a
n
d
Z.
A
.
S
a
m
a
n
i,
"
Esti
m
a
ti
n
g
p
o
ten
ti
a
l
e
v
a
p
o
tran
s
p
iratio
n
,
"
J
o
u
r
n
a
l
o
f
t
h
e
Irr
ig
a
ti
o
n
a
n
d
Dr
a
in
a
g
e
Div
isio
n
,
v
o
l.
1
0
8
,
p
p
.
2
2
5
-
2
3
0
,
1
9
8
2
.
[1
1
]
L
.
Ola
to
m
i
w
a
,
S
.
M
e
k
h
il
e
f
,
S
.
S
h
a
m
sirb
a
n
d
a
n
d
D.
P
e
tk
o
v
ic,
P
o
ten
ti
a
l
o
f
S
u
p
p
o
r
t
V
e
c
t
o
r
Re
g
re
s
sio
n
f
o
r
S
o
la
r
Ra
d
iatio
n
P
re
d
icti
o
n
in
Nig
e
ria,
"
Na
tu
ra
l
Ha
z
a
rd
,
v
o
l.
7
7
,
p
p
1
0
5
5
-
1
0
6
8
,
2
0
1
5
.
[1
2
]
L
.
Ola
to
m
i
w
a
,
S
.
M
e
k
h
il
e
f
,
S
.
S
h
a
m
sirb
a
n
d
,
K.
M
o
h
a
m
m
a
d
i,
D.
P
e
tk
o
v
ic
a
n
d
C.
S
u
d
h
e
e
r.
A
S
u
p
p
o
rt
V
e
c
to
r
M
a
c
h
in
e
F
iref
ly
A
l
g
o
rit
h
m
-
b
a
se
d
M
o
d
e
l
f
o
r
S
o
lar
Ra
d
iatio
n
P
r
e
d
ictio
n
,
"
S
o
lar
E
n
e
rg
y
,
v
o
l.
1
1
5
,
p
p
.
6
3
2
-
6
4
4
,
2
0
1
5
[1
3
]
S
.
S
a
li
su
,
A
.
A
b
u
b
a
k
a
r,
B.
S
a
d
iq
,
A
.
A
b
d
u
,
a
n
d
A
.
Um
a
r,
"
F
OR
CA
S
T
IN
G
S
O
LA
R
R
A
DI
AT
IO
N
INT
ENS
I
T
Y
USING
A
NN
AN
D
AN
F
IS
(A
COMP
A
RAT
IV
E
S
T
UD
Y
AN
D
P
ERF
OR
M
A
NCE
A
N
AL
YSIS
)
,
In
tern
a
ti
o
n
a
l
En
g
in
e
e
rin
g
Co
n
f
e
re
n
c
e
,
F
UT
M
in
n
a
"
p
p
.
5
6
7
-
5
7
1
,
2
0
1
5
.
[1
4
]
K.
M
o
h
a
m
m
a
d
i,
S
.
S
h
a
m
sh
irb
a
n
d
,
C.
W
.
T
o
n
g
,
K.
A
.
A
la
m
,
a
n
d
D.
P
e
tk
o
v
ić,
"
P
o
ten
ti
a
l
o
f
a
d
a
p
ti
v
e
n
e
u
ro
-
f
u
z
z
y
s
y
ste
m
f
o
r
p
re
d
ictio
n
o
f
d
a
il
y
g
lo
b
a
l
so
lar
ra
d
iatio
n
b
y
d
a
y
o
f
th
e
y
e
a
r,
"
En
e
rg
y
Co
n
v
e
rs
io
n
a
n
d
M
a
n
a
g
e
me
n
t
,
v
o
l.
9
3
,
p
p
.
4
0
6
-
4
1
3
,
2
0
1
5
.
[1
5
]
S
.
Hu
ss
a
in
a
n
d
A
.
A
l
A
li
li
,
"
S
o
f
t
c
o
m
p
u
ti
n
g
a
p
p
ro
a
c
h
f
o
r
so
lar
ra
d
iatio
n
p
re
d
ictio
n
o
v
e
r
A
b
u
Dh
a
b
i,
UA
E:
A
c
o
m
p
a
ra
ti
v
e
a
n
a
l
y
sis,"
IEE
E
In
t
e
rn
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
i
n
S
m
a
rt
E
n
e
rg
y
Gr
id
En
g
in
e
e
rin
g
(
S
EGE)
,
p
p
.
1
-
6
,
2
0
1
5
.
[1
6
]
M
.
S
e
d
ig
h
i,
M
.
G
h
a
se
m
i,
M
.
M
o
h
a
m
m
a
d
i,
a
n
d
S
.
H.
Ha
ss
a
n
,
"
A
n
o
v
e
l
a
p
p
li
c
a
ti
o
n
o
f
a
n
e
u
ro
–
f
u
z
z
y
c
o
m
p
u
tatio
n
a
l
tec
h
n
iq
u
e
in
m
o
d
e
li
n
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9
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2
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5
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6
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.
[2
8
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.
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9
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.
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tru
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l.
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.
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8
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.