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.
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id
1.
I
NT
RO
D
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Su
r
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a,
th
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s
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I
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d
o
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s
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ad
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am
o
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g
th
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b
ig
cities
with
a
d
aily
av
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a
g
e
o
f
5
.
2
9
k
W
h
/m
2
[
1
]
.
Ho
wev
er
,
th
is
p
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ten
tial
i
s
y
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to
b
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u
tili
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lan
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I
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ly
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PV
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1
9
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wh
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is
les
s
th
an
0
.
1
% o
f
5
3
6
GW
p
o
ten
tial
[
2
]
.
Desp
ite
th
e
r
ec
en
t
co
n
tin
u
o
u
s
d
ec
r
ea
s
e
in
th
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p
r
ice
o
f
th
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PV p
an
el
[
3
]
,
[
4
]
th
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to
tal
co
s
t o
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PV p
o
we
r
p
lan
t
is
q
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ite
ex
p
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f
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ch
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I
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d
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esia
.
Mo
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m
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en
t
o
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PV
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tem
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s
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ch
as
th
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an
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tr
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n
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co
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te
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s
ar
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o
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p
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in
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o
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esia.
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er
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o
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e
th
e
co
s
t
ef
f
icien
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o
f
th
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s
y
s
tem
[
5
]
.
T
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e
in
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o
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an
d
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p
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atio
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o
n
PV
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g
y
s
y
s
tem
s
[
6
]
.
T
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e
am
o
u
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t
o
f
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aily
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v
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ag
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g
l
o
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al
s
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lar
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h
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wid
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p
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f
o
r
v
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u
s
s
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ies
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i
n
clu
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es
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v
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atin
g
th
e
f
ea
s
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f
s
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lar
p
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p
lan
t
[
7
]
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p
tim
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izin
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o
f
th
e
en
er
g
y
s
to
r
ag
e
s
y
s
tem
s
[
8
]
,
[
9
]
d
eter
m
in
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o
f
th
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o
p
tim
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tilt
an
g
le
[
1
0
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-
[
1
2
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an
d
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in
g
en
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g
y
m
an
ag
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m
e
n
t
s
y
s
tem
[
1
3
]
.
H
o
wev
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,
th
e
d
ata
o
f
m
ea
s
u
r
ed
s
o
lar
r
ad
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is
lim
ited
ly
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.
Fu
r
th
er
m
o
r
e,
s
o
m
e
d
esig
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p
r
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ce
s
s
es
d
em
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d
th
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p
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o
f
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f
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g
lo
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r
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T
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f
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r
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th
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p
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ed
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io
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o
r
esti
m
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o
f
th
e
g
lo
b
al
s
o
lar
r
ad
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n
is
n
ec
ess
ar
y
[
1
4
]
,
[
1
5
]
.
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J
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Vo
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[
2
8
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.
Var
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n
(
latitu
d
e
an
d
lo
n
g
itu
d
e)
an
d
altitu
d
e
o
f
th
e
city
,
as
well
as
th
e
n
u
m
b
er
o
f
m
o
n
th
[
2
9
]
,
[
3
0
]
.
T
h
is
s
tu
d
y
aim
s
to
in
v
esti
g
ate
th
e
f
ea
s
ib
ilit
y
o
f
th
e
co
m
m
o
n
m
u
lti
lay
er
p
er
ce
p
t
r
o
n
ANN
to
esti
m
ate
th
e
d
aily
av
e
r
ag
e
g
lo
b
a
l
s
o
lar
r
ad
iatio
n
u
s
in
g
Su
r
a
b
ay
a
m
et
eo
r
o
lo
g
ical
d
ata
.
T
h
e
an
aly
s
is
o
f
th
e
r
esu
lts
will
h
elp
g
en
er
ate
r
ec
o
m
m
en
d
atio
n
s
to
im
p
r
o
v
e
th
e
ac
cu
r
ac
y
o
f
th
e
esti
m
atio
n
m
o
d
el.
T
h
e
co
n
tr
i
b
u
tio
n
o
f
th
is
p
ap
er
is
to
g
en
e
r
ate
an
ANN
m
o
d
el
to
esti
m
ate
th
e
d
aily
av
er
a
g
e
s
o
lar
r
a
d
iatio
n
f
o
r
Su
r
ab
a
y
a
city
u
s
in
g
av
ailab
le
m
eteo
r
o
lo
g
ical
d
ata.
I
n
s
ec
tio
n
2
,
th
e
d
etail
o
f
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
is
ex
p
lain
ed
.
Me
an
w
h
ile,
th
e
e
x
p
la
n
atio
n
o
f
h
e
co
m
p
ar
is
o
n
r
esu
lts
b
etwe
en
m
ea
s
u
r
ed
an
d
esti
m
ated
d
ail
y
av
er
ag
e
s
o
lar
r
ad
iatio
n
is
p
r
esen
ted
in
s
ec
tio
n
3
.
T
h
e
s
ec
tio
n
4
c
o
n
tain
s
th
e
co
n
clu
s
io
n
o
f
th
e
f
in
d
in
g
s
in
th
is
r
esear
ch
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
av
ailab
le
wea
th
er
p
ar
am
eter
s
u
s
ed
as
in
p
u
t
f
o
r
th
e
n
e
u
r
al
n
etwo
r
k
ar
e
m
i
n
im
u
m
te
m
p
er
atu
r
e
(
T
min
)
,
av
er
ag
e
tem
p
er
atu
r
e
(
T
avg
)
,
m
ax
im
u
m
tem
p
e
r
atu
r
e
(
T
max
)
,
av
er
ag
e
r
elativ
e
h
u
m
id
ity
(
RH
)
,
p
r
ec
ip
itatio
n
(
Pr
)
,
s
u
n
s
h
in
e
d
u
r
atio
n
(
SD
)
,
a
n
d
av
er
a
g
e
win
d
s
p
ee
d
(
WS
)
.
T
h
ese
p
ar
am
eter
s
wer
e
tak
en
f
r
o
m
th
e
d
atab
ase
o
f
I
n
d
o
n
esian
Me
teo
r
o
lo
g
ical,
C
lim
ato
lo
g
ical,
an
d
Geo
p
h
y
s
ic
al
Ag
en
cy
(
B
MK
G)
.
T
h
e
we
at
h
er
p
ar
am
eter
s
o
f
Su
r
ab
ay
a
ar
e
m
ea
s
u
r
ed
in
T
an
j
u
n
g
Per
ak
Ma
r
itime
Me
teo
r
o
l
o
g
y
Statio
n
an
d
ar
e
av
ailab
le
a
s
d
ay
-
to
-
d
ay
me
tr
ic
an
d
ar
e
,
th
e
n
c
o
n
v
er
te
d
in
t
o
a
d
aily
av
er
ag
e
p
er
m
o
n
t
h
f
o
r
t
h
e
in
p
u
t
o
f
th
e
n
etwo
r
k
.
T
h
e
a
d
d
itio
n
al
in
p
u
t
d
ata
is
th
e
n
u
m
b
er
o
f
t
h
e
m
o
n
th
(
j
)
,
s
in
ce
th
e
d
aily
av
e
r
ag
e
s
o
lar
r
ad
iatio
n
o
n
ea
ch
m
o
n
th
m
ay
v
ar
y
d
u
e
to
th
e
r
ain
y
an
d
d
r
y
s
ea
s
o
n
.
T
h
e
o
u
tp
u
t
o
f
th
e
n
etwo
r
k
is
th
e
d
aily
av
er
ag
e
g
lo
b
al
s
o
lar
r
ad
iatio
n
o
n
a
h
o
r
izo
n
tal
s
u
r
f
ac
e
(
G
)
.
T
h
e
d
ata
wer
e
o
b
tain
ed
f
r
o
m
th
e
NASA
Po
wer
d
ata
b
a
s
e,
in
t
h
e
f
o
r
m
o
f
to
tal
s
o
lar
r
ad
i
atio
n
p
e
r
d
a
y
,
it
was
th
en
co
n
v
er
ted
to
th
e
d
aily
a
v
er
ag
e
am
o
u
n
t
f
o
r
ea
c
h
m
o
n
th
.
T
h
e
s
tr
u
ctu
r
e
o
f
th
e
n
etw
o
r
k
is
p
r
esen
ted
i
n
Fig
u
r
e
1
.
Du
e
to
th
e
m
in
im
u
m
er
r
o
r
d
u
r
in
g
th
e
tr
ain
in
g
p
r
o
ce
s
s
,
t
h
r
ee
n
u
m
b
er
s
o
f
n
eu
r
o
n
s
in
h
i
d
d
en
lay
er
s
ar
e
s
elec
ted
.
Fig
u
r
e
1
.
C
o
n
f
ig
u
r
atio
n
o
f
ANN
to
p
r
ed
ict
th
e
g
lo
b
al
s
o
lar
r
a
d
iatio
n
T
h
e
ANN
was
tr
ain
ed
u
s
in
g
an
u
n
f
ilter
e
d
5
-
y
ea
r
s
d
ata
f
r
o
m
J
an
u
ar
y
2
0
1
1
to
Dec
em
b
er
2
0
1
5
.
6
0
s
am
p
les
o
f
in
p
u
t
-
o
u
t
p
u
t
co
r
r
el
atio
n
d
ata
wer
e
u
tili
ze
d
f
o
r
th
e
tr
ain
in
g
p
r
o
ce
s
s
.
T
h
e
tr
ain
in
g
p
r
o
ce
s
s
to
d
eter
m
in
e
th
e
ap
p
r
o
p
r
iate
weig
h
t
v
alu
e
f
o
r
ea
ch
co
n
n
ec
tio
n
b
etwe
en
n
eu
r
o
n
s
was
ca
r
r
ied
o
u
t
b
ased
o
n
its
co
n
v
er
g
e
n
ce
an
d
s
tab
ilit
y
s
p
ee
d
ac
co
r
d
in
g
t
o
th
e
L
ev
en
b
er
g
-
Ma
r
q
u
ar
d
t
m
eth
o
d
[
3
0
]
,
in
o
r
d
er
t
o
m
in
im
iz
e
er
r
o
r
s
d
ef
in
e
d
as
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
n
ev
a
lu
a
ti
on
o
f th
e
a
r
tifi
cia
l
n
eu
r
a
l
n
etw
o
r
k
b
a
s
ed
o
n
th
e
e
s
tima
tio
n
o
f
d
a
ily
a
ve
r
a
g
e
…
(
A
d
i Ku
r
n
ia
w
a
n
)
1247
M
SE
=
1
∑
2
=
1
=
1
∑
(
−
)
2
=
1
(
1
)
wh
er
e
n
is
th
e
to
tal
n
u
m
b
er
o
f
s
am
p
les
o
f
th
e
o
u
tp
u
t
p
ar
am
e
ter
,
k
is
th
e
in
d
ex
o
f
th
e
o
u
tp
u
t
s
am
p
les,
e
i
s
th
e
er
r
o
r
o
f
th
e
o
u
tp
u
t,
t
is
th
e
tar
g
et
v
alu
e
o
f
th
e
o
u
tp
u
t
f
r
o
m
th
e
d
ata,
an
d
y
is
th
e
o
u
tp
u
t
v
alu
e
o
b
tain
ed
f
r
o
m
th
e
ca
lcu
latio
n
o
f
th
e
ANN
[
3
1
]
-
[
3
3
]
.
T
o
ev
alu
ate
th
e
ef
f
ec
tiv
e
n
ess
o
f
th
e
tr
ain
ed
ANN
,
a
co
m
p
ar
is
o
n
is
m
ad
e
b
etwe
en
esti
m
atio
n
an
d
m
ea
s
u
r
ed
v
al
u
e
f
o
r
2
0
1
6
-
2
0
1
9
d
ata
.
T
h
e
ANN
is
u
s
ed
to
ca
lc
u
late
th
e
esti
m
atio
n
o
f
d
ail
y
a
v
er
ag
e
g
lo
b
al
s
o
lar
r
ad
iatio
n
p
er
m
o
n
th
b
y
ap
p
l
y
in
g
th
e
wea
th
er
p
ar
am
eter
s
d
ata
o
f
2
0
1
6
-
2
0
1
9
.
T
h
e
r
esu
lts
wer
e
th
en
co
m
p
a
r
e
d
with
th
e
ac
tu
al
g
lo
b
al
s
o
lar
r
ad
iatio
n
f
r
o
m
th
e
NASA
Po
wer
d
atab
ase
f
o
r
th
e
s
am
e
m
o
n
t
h
of
th
e
s
a
m
e
y
ea
r
wit
h
th
e
s
tatis
tical
p
ar
am
eter
ca
lcu
lated
as th
e
m
ea
n
av
e
r
ag
e
p
er
c
en
tag
e
er
r
o
r
(
MA
PE)
f
o
r
ea
ch
y
ea
r
as f
o
llo
w
:
M
A
PE
=
1
12
∑
|
−
|
12
=
1
×
100%
(
2
)
wh
er
e
j
is
th
e
in
d
e
x
o
f
th
e
m
o
n
th
,
Gp
is
th
e
esti
m
ated
v
alu
e
o
f
th
e
d
aily
a
v
er
ag
e
s
o
lar
r
ad
i
ati
o
n
p
er
m
o
n
th
tak
en
f
r
o
m
t
h
e
r
esu
lt
o
f
th
e
ANN,
an
d
Gm
is
th
e
m
ea
s
u
r
ed
v
alu
e
o
f
th
e
d
aily
a
v
er
ag
e
s
o
lar
r
ad
iatio
n
tak
en
f
r
o
m
NASA.
T
h
e
MA
PE
h
as
b
ee
n
u
s
ed
in
p
r
ev
io
u
s
s
tu
d
ies
as
a
p
ar
am
eter
to
m
ea
s
u
r
e
th
e
ac
c
u
r
ac
y
o
f
s
o
lar
r
a
d
iatio
n
esti
m
atio
n
u
s
in
g
ANN
[
2
8
]
.
3.
RE
SU
L
T
S
A
ND
D
IS
CU
SS
I
O
N
T
h
e
ANN
tr
ain
in
g
p
r
o
ce
s
s
s
h
o
ws
a
g
o
o
d
co
r
r
elatio
n
b
etwe
en
th
e
tar
g
et
f
r
o
m
th
e
d
ata
a
n
d
th
e
o
u
tp
u
t
o
f
th
e
ANN,
in
d
icate
d
b
y
a
r
e
g
r
ess
io
n
v
alu
e
o
f
0
.
9
6
7
as sh
o
wn
in
Fig
u
r
e
2
.
I
t a
ls
o
in
d
icate
s
th
at
th
e
f
iv
e
y
ea
r
s
tr
ain
in
g
d
ata
h
a
v
e
a
s
tr
o
n
g
co
r
r
elatio
n
b
etwe
en
th
e
i
n
p
u
ts
a
n
d
th
e
o
u
tp
u
t.
T
h
e
g
r
ap
h
ical
co
m
p
ar
is
o
n
s
b
etwe
en
th
e
esti
m
ated
an
d
m
ea
s
u
r
ed
d
aily
av
er
ag
e
g
lo
b
al
s
o
lar
r
ad
ia
tio
n
p
er
m
o
n
t
h
f
o
r
2
0
1
6
-
2
0
1
9
y
ea
r
s
ar
e
s
h
o
wn
in
Fig
u
r
e
3
an
d
it
in
d
icate
th
at
th
e
esti
m
atio
n
v
alu
es
ten
d
to
b
e
lo
wer
th
an
m
ea
s
u
r
ed
on
es.
T
h
e
d
if
f
er
e
n
ce
s
ar
e
esp
ec
ially
lar
g
er
d
u
r
in
g
th
e
p
e
ak
s
o
f
d
r
y
s
ea
s
o
n
b
etwe
en
J
u
ly
an
d
Octo
b
er
.
I
n
c
o
n
tr
ast
,
th
e
h
ig
h
est
s
im
ilar
ity
was
o
b
s
er
v
ed
in
th
e
p
ea
k
s
o
f
r
ain
y
s
ea
s
o
n
b
etwe
en
Dec
em
b
e
r
an
d
Feb
r
u
ar
y
.
Giv
en
th
e
lar
g
e
d
if
f
er
en
ce
o
f
d
ail
y
av
er
ag
e
p
r
ec
i
p
itatio
n
d
u
r
in
g
d
r
y
(
1
.
8
9
m
m
)
a
n
d
r
ain
y
s
ea
s
o
n
(
9
.
3
5
m
m
)
p
er
y
ea
r
in
2
0
1
1
-
2
0
1
5
,
th
e
d
iv
is
io
n
o
f
th
e
ANN
tr
ain
in
g
f
o
r
ea
ch
s
ea
s
o
n
will
im
p
r
o
v
e
t
h
e
ac
cu
r
ac
y
o
f
th
e
esti
m
atio
n
.
T
h
e
s
tatis
tical
r
esu
lts
o
f
MA
PE
f
o
r
ea
ch
y
ea
r
ar
e
p
r
esen
ted
i
n
T
ab
le
1
.
T
h
e
er
r
o
r
is
o
n
t
h
e
i
n
cr
ea
s
e
f
o
r
th
e
m
o
r
e
r
ec
en
t
y
ea
r
,
th
is
is
as
a
r
esu
lt
o
f
th
e
in
cr
ea
s
e
in
th
e
m
ea
s
u
r
ed
d
aily
av
er
a
g
e
s
o
lar
r
ad
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n
in
Su
r
ab
ay
a
b
etwe
en
2
0
1
6
an
d
2
0
1
9
.
T
h
e
m
ea
s
u
r
ed
v
alu
es
ar
e
4
.
8
k
W
h
/m
2
in
2
0
1
6
,
4
.
9
8
in
2
0
1
7
,
5
.
3
i
n
2
0
1
8
,
an
d
5
.
4
8
in
2
0
1
9
.
Me
a
n
wh
ile,
th
e
in
p
u
t
p
ar
am
eter
s
ar
e
s
o
m
ewh
at
s
tab
le
f
o
r
ea
ch
y
ea
r
.
Fo
r
ex
am
p
le,
in
th
e
s
am
e
p
er
io
d
,
th
e
av
er
ag
e
tem
p
er
atu
r
es a
r
e
2
9
.
0
4
,
2
8
.
5
5
,
2
8
.
7
8
,
an
d
2
9
.
0
2
°
C
r
esp
ec
tiv
ely
.
Fig
u
r
e
2
Gr
ap
h
ics o
f
r
e
g
r
ess
io
n
b
etwe
en
tar
g
et
a
n
d
th
e
o
u
tp
u
t d
u
r
in
g
th
e
ANN
tr
ain
in
g
p
r
o
ce
s
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
22
,
No
.
3
,
J
u
n
e
2
0
2
1
:
1
2
4
5
-
1
2
5
0
1248
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
3
.
Gr
a
p
h
ical
co
m
p
ar
is
o
n
s
b
etwe
en
m
ea
s
u
r
ed
a
n
d
esti
m
ated
d
aily
av
e
r
ag
e
s
o
lar
r
ad
i
atio
n
p
er
m
o
n
th
f
o
r
th
e
y
ea
r
o
f
;
(
a)
2
0
1
6
,
(
b
)
2
0
1
7
,
(
c)
2
0
1
8
,
an
d
(
d
)
2
0
1
9
T
ab
le
1
.
Statis
tical
r
esu
lts
o
f
th
e
d
aily
av
e
r
ag
e
s
o
lar
r
ad
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n
esti
m
atio
n
m
o
d
el
f
o
r
Su
r
ab
a
y
a
Y
e
a
r
M
A
P
E
(
%)
2
0
1
6
8
.
7
7
2
0
1
7
8
.
8
2
2
0
1
8
1
1
.
3
8
2
0
1
9
1
2
.
4
1
I
n
o
r
d
er
to
ev
al
u
ate
th
e
ca
p
a
b
ilit
y
o
f
th
e
ANN
m
o
d
el
to
esti
m
ate
th
e
d
aily
av
er
ag
e
g
l
o
b
al
s
o
lar
r
ad
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n
in
Su
r
ab
a
y
a,
o
n
e
n
ee
d
to
co
m
p
ar
e
th
e
MA
PE
ac
q
u
ir
ed
in
t
h
is
s
tu
d
y
with
th
e
r
esu
lt
s
f
r
o
m
th
e
p
r
e
v
io
u
s
s
tu
d
ies.
T
h
e
MA
PE
in
th
is
s
tu
d
y
is
clea
r
ly
h
ig
h
er
th
a
n
av
er
a
g
e
o
f
6
.
8
9
%
ac
h
iev
ed
f
o
r
th
e
cities
in
I
n
d
ia
[
3
4
]
,
5
.
4
7
%
o
f
J
ap
an
[
3
5
]
,
4
.
4
9
%
o
f
Sau
d
i
Ar
ab
ia
[
2
0
]
,
5
.
2
1
%
o
f
I
r
an
[
3
6
]
,
an
d
5
.
3
8
%
o
f
Ma
lay
s
ia
[
2
7
]
.
Ho
wev
er
,
th
e
MA
PE
r
esu
lts
f
o
r
2
0
1
6
an
d
2
0
1
7
in
th
is
s
tu
d
y
a
r
e
class
if
ied
u
n
d
er
h
ig
h
ac
cu
r
ate
p
r
ed
ictio
n
,
wh
ile
th
e
r
esu
lts
f
o
r
2
0
1
8
a
n
d
2
0
1
9
ar
e
class
if
ied
as
g
o
o
d
esti
m
atio
n
ac
co
r
d
i
n
g
to
L
ewis
class
if
icatio
n
[
3
4
]
.
T
h
e
v
alu
e
o
f
MA
PE
in
th
is
s
tu
d
y
also
lo
wer
th
an
s
i
m
ilar
s
tu
d
y
in
Fez,
Mo
r
o
c
co
,
i
n
wh
ich
th
e
b
est
ac
h
iev
ed
MA
PE
is
2
1
.
7
7
%
[
3
7
]
.
4.
CO
NCLU
SI
O
N
T
h
e
r
esu
lts
f
r
o
m
th
is
s
tu
d
y
i
n
d
icate
th
at
th
e
e
s
tim
ated
v
alu
e
o
f
th
e
s
o
lar
r
ad
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n
f
r
o
m
th
e
ANN
c
an
ap
p
r
o
ac
h
th
e
v
alu
e
o
f
th
e
m
ea
s
u
r
ed
o
n
e,
as
p
r
o
v
e
n
b
y
MA
PE
(
less
th
an
2
0
)
.
T
h
er
e
f
o
r
e,
th
e
c
o
m
m
o
n
m
u
lti
lay
er
p
er
ce
p
tr
o
n
ANN
esti
m
ato
r
m
o
d
el
with
th
e
av
ailab
le
m
eteo
r
o
l
o
g
ical
d
ata
is
r
eliab
le
to
esti
m
a
te
th
e
d
aily
av
er
ag
e
g
lo
b
al
s
o
lar
r
ad
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n
f
o
r
th
e
city
o
f
Su
r
ab
ay
a.
Ho
wev
e
r
,
th
e
im
p
r
o
v
em
e
n
t
o
f
th
e
ac
cu
r
ac
y
o
f
th
e
esti
m
ato
r
is
h
ig
h
ly
p
o
s
s
ib
le
wh
en
two
s
e
p
ar
ate
ANN
ar
e
tr
ain
e
d
an
d
ap
p
lied
s
ep
ar
ately
f
o
r
d
r
y
an
d
r
ain
y
s
ea
s
o
n
.
T
h
e
in
cr
ea
s
e
in
er
r
o
r
s
o
v
er
th
e
p
ast
y
ea
r
also
s
u
g
g
ests
th
at
a
lim
i
tatio
n
in
t
h
e
n
u
m
b
e
r
o
f
p
r
ev
io
u
s
y
ea
r
s
to
b
e
u
s
ed
f
o
r
th
e
tr
ai
n
in
g
p
r
o
ce
s
s
is
r
eq
u
ir
ed
to
esti
m
ate
s
o
lar
r
ad
iatio
n
o
v
er
a
g
iv
en
y
ea
r
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
n
ev
a
lu
a
ti
on
o
f th
e
a
r
tifi
cia
l
n
eu
r
a
l
n
etw
o
r
k
b
a
s
ed
o
n
th
e
e
s
tima
tio
n
o
f
d
a
ily
a
ve
r
a
g
e
…
(
A
d
i Ku
r
n
ia
w
a
n
)
1249
5.
F
UT
UR
E
WO
RK
I
n
th
e
n
ex
t
s
tep
,
th
e
ac
cu
r
ac
y
im
p
r
o
v
em
e
n
t
o
f
th
e
ANN
esti
m
ato
r
n
ee
d
s
to
b
e
d
esig
n
ed
b
y
ap
p
ly
in
g
class
if
icatio
n
m
eth
o
d
f
o
r
d
r
y
a
n
d
r
ai
n
y
s
ea
s
o
n
.
Fu
r
th
er
,
th
e
A
NN
esti
m
ato
r
with
lo
ca
tio
n
as
th
e
in
p
u
ts
will
also
d
esig
n
ed
to
b
e
ab
le
to
esti
m
at
e
th
e
d
aily
av
e
r
ag
e
s
o
lar
r
ad
iat
io
n
in
all
ar
ea
in
I
n
d
o
n
esia.
ACK
NO
WL
E
DG
E
M
E
NT
S
T
h
is
s
tu
d
y
is
f
in
a
n
cially
s
u
p
p
o
r
ted
b
y
I
n
s
titu
t
T
ek
n
o
lo
g
i
Sep
u
lu
h
No
p
em
b
er
b
y
th
e
s
ch
em
e
o
f
“
P
en
elitia
n
Da
n
a
Dep
a
r
teme
n
”
n
o
.
1
7
3
2
/PKS
/I
T
S/2
0
2
0
.
T
h
e
r
esear
ch
er
s
ar
e
th
an
k
f
u
l
to
th
e
I
n
d
o
n
esian
Me
teo
r
o
lo
g
ical,
C
lim
ato
lo
g
ica
l,
an
d
Geo
p
h
y
s
ical
Ag
en
cy
(
B
MK
G)
f
o
r
p
r
o
v
id
in
g
th
e
m
eteo
r
o
lo
g
ical
d
ata
u
s
ed
in
th
is
r
esear
ch
.
RE
F
E
R
E
NC
E
S
[1
]
Th
e
Wo
r
ld
Ba
n
k
G
ro
u
p
,
S
o
lar
re
so
u
rc
e
a
n
d
p
h
o
t
o
v
o
lt
a
ic
p
o
t
e
n
ti
a
l
o
f
In
d
o
n
e
sia
,
2
0
1
7
[On
l
i
n
e
].
Av
a
il
a
b
le:
h
tt
p
s:/
/d
o
c
u
m
e
n
ts.wo
rl
d
b
a
n
k
.
o
rg
/
e
n
/p
u
b
li
c
a
ti
o
n
/
d
o
c
u
m
e
n
ts
-
re
p
o
rts
/d
o
c
u
m
e
n
t
d
e
tail/
7
2
9
4
1
1
4
9
6
2
4
0
7
3
0
3
7
8
/so
lar
-
re
so
u
rc
e
-
a
n
d
-
p
h
o
t
o
v
o
lt
a
ic
-
p
o
ten
ti
a
l
-
of
-
in
d
o
n
e
sia
[2
]
A.
P
.
Tam
p
u
b
o
lo
n
,
A.
Alfa
t
h
,
H.
Da
m
a
y
a
n
ti
,
I.
M
a
rc
ian
o
,
a
n
d
P
.
S
ima
m
o
ra
,
“
In
d
o
n
e
sia
c
lea
n
e
n
e
rg
y
o
u
t
lo
o
k
:
Trac
k
in
g
p
ro
g
re
ss
a
n
d
re
v
iew
o
f
c
lea
n
e
n
e
rg
y
d
e
v
e
lo
p
m
e
n
t
in
I
n
d
o
n
e
sia
,
”
Ja
k
a
rta,
In
d
o
n
e
sia
:
I
n
sit
u
te
fo
r
Esse
n
ti
a
l
S
e
rv
ice
s Re
fo
rm
,
2
0
1
9
.
[3
]
S
.
M
o
tah
h
ir,
A.
C
h
a
lh
,
A.
El
G
h
z
iza
l,
a
n
d
A.
De
ro
u
ich
,
“
De
v
e
lo
p
m
e
n
t
o
f
a
lo
w
-
c
o
st
P
V
sy
ste
m
u
si
n
g
a
n
im
pr
o
v
e
d
INC
a
lg
o
rit
hm
a
n
d
a
P
V
p
a
n
e
l
p
ro
teu
s
m
o
d
e
l,
”
J
o
u
r
n
a
l
o
f
Cle
a
n
e
r
Pro
d
u
c
ti
o
n
,
v
o
l
.
2
0
4
,
p
p
.
3
5
5
-
3
6
5
,
2
0
1
8
,
d
o
i:
1
0
.
1
0
1
6
/j
.
jcle
p
ro
.
2
0
1
8
.
0
8
.
2
4
6
.
[4
]
K.
Bra
n
k
e
r,
M
.
J
.
M
.
P
a
t
h
a
k
,
a
n
d
J.
M
.
P
e
a
rc
e
,
“
A
re
v
iew
o
f
so
lar
p
h
o
t
o
v
o
lt
a
ic
lev
e
li
z
e
d
c
o
st
o
f
e
lec
t
ricity
,
”
Ren
e
wa
b
le
a
n
d
S
u
sta
in
a
b
le E
n
e
rg
y
Rev
iews
,
v
o
l
.
1
5
,
n
o
.
9
,
p
p
.
4
4
7
0
-
4
4
8
2
,
2
0
1
1
,
d
o
i:
1
0
.
1
0
1
6
/j
.
rse
r.
2
0
1
1
.
0
7
.
1
0
4
.
[5
]
A.
As
k
a
rz
a
d
e
h
,
“
S
o
l
u
ti
o
n
f
o
r
s
izin
g
a
P
V/
Di
e
se
l
HPG
S
fo
r
I
so
late
d
sit
e
s,”
IET
Ren
e
wa
b
le
Po
we
r
Ge
n
e
ra
ti
o
n
,
v
o
l.
1
1
,
n
o
.
1
,
p
p
.
1
4
3
-
1
5
1
,
2
0
1
7
,
d
o
i:
1
0
.
1
0
4
9
/
iet
-
rp
g
.
2
0
1
6
.
0
3
1
9
.
[6
]
R.
Ih
a
d
d
a
d
e
n
e
,
N.
Ih
a
d
d
a
d
e
n
e
,
M
.
S
a
lem
i,
a
n
d
A.
Be
g
h
i
d
ja,
“
Ne
w
m
o
d
e
l
t
o
e
stim
a
te
m
o
n
th
ly
g
l
o
b
a
l
so
lar
ra
d
iatio
n
fro
m
a
ir
tem
p
e
ra
tu
r
e
in
Alg
e
ria,”
2
0
1
8
9
t
h
In
ter
n
a
ti
o
n
a
l
Ren
e
wa
b
le
En
e
rg
y
Co
n
g
re
ss
(IR
EC)
,
2
0
1
8
,
p
p
.
1
-
6
,
d
o
i:
1
0
.
1
1
0
9
/IR
EC.
2
0
1
8
.
8
3
6
2
4
9
2
.
[7
]
E.
A.
Ah
m
e
d
a
n
d
M
.
E
.
Ad
a
m
,
“
Esti
m
a
te o
f
g
lo
b
a
l
so
lar rad
iati
o
n
b
y
u
sin
g
a
rti
ficia
l
n
e
u
ra
l
n
e
two
r
k
in
Qe
n
a
,
Up
p
e
r
Eg
y
p
t,
”
J
o
u
rn
a
l
o
f
Clea
n
E
n
e
rg
y
T
e
c
h
n
o
l
o
g
ies
,
v
o
l.
1
,
n
o
.
2
,
p
p
.
1
4
8
-
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5
0
,
2
0
1
3
,
d
o
i:
1
0
.
7
7
6
3
/JOCE
T.
2
0
1
3
.
V1
.
3
5
.
[8
]
C.
Ya
o
,
M
.
C
h
e
n
,
a
n
d
Y.
Ho
n
g
,
“
No
v
e
l
a
d
a
p
ti
v
e
m
u
lt
i
-
c
lu
ste
ri
n
g
a
lg
o
rit
h
m
-
b
a
se
d
o
p
t
ima
l
ES
S
siz
in
g
i
n
sh
i
p
p
o
we
r
sy
ste
m
c
o
n
sid
e
rin
g
u
n
c
e
rtai
n
ty
,
”
in
IEE
E
T
r
a
n
sa
c
ti
o
n
s
o
n
P
o
we
r
S
y
ste
ms
,
v
o
l.
3
3
,
n
o
.
1
,
p
p
.
3
0
7
-
3
1
6
,
Ja
n
.
2
0
1
8
,
d
o
i:
1
0
.
1
1
0
9
/
TP
WRS
.
2
0
1
7
.
2
6
9
5
3
3
9
.
[9
]
A.
N.
Az
m
i,
N.
S
a
li
m
,
a
n
d
A.
Kh
a
m
is,
“
An
a
ly
sis
o
f
a
n
e
n
e
rg
y
sto
ra
g
e
siz
in
g
fo
r
g
ri
d
-
c
o
n
n
e
c
ted
p
h
o
to
v
o
lt
a
ic
sy
s
tem
,
”
In
d
o
n
e
sia
n
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
Co
mp
u
ter
S
c
ien
c
e
,
v
o
l.
1
6
,
n
o
.
1
,
p
p
.
1
7
-
2
4
,
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
6
.
i
1
.
p
p
1
7
-
24
.
[1
0
]
S
.
Ak
h
lag
h
i,
H.
S
a
n
g
r
o
d
y
,
M
.
S
a
ra
il
o
o
,
a
n
d
M
.
Re
z
a
e
iah
a
ri,
“
Eff
icie
n
t
o
p
e
ra
ti
o
n
o
f
re
sid
e
n
ti
a
l
s
o
lar
p
a
n
e
ls
wit
h
d
e
term
in
a
ti
o
n
o
f
t
h
e
o
p
ti
m
a
l
ti
lt
a
n
g
le
a
n
d
o
p
ti
m
a
l
in
ter
v
a
ls
b
a
se
d
o
n
fo
re
c
a
stin
g
m
o
d
e
l
,
”
IET
Re
n
e
wa
b
le
P
o
we
r
Ge
n
e
ra
ti
o
n
,
v
o
l.
1
1
,
n
o
.
1
0
,
p
p
.
1
2
6
1
-
1
2
6
7
,
2
0
1
7
,
d
o
i:
1
0
.
1
0
4
9
/
iet
-
rp
g
.
2
0
1
6
.
1
0
3
3
.
[1
1
]
A.
Ku
rn
iaw
a
n
a
n
d
E.
S
h
i
n
tak
u
,
“
De
term
in
in
g
th
e
o
p
ti
m
a
l
in
c
li
n
a
ti
o
n
a
n
d
o
rien
tati
o
n
a
n
g
les
o
f
so
lar
p
a
n
e
ls i
n
sta
ll
e
d
o
n
s
h
ip
,
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Ren
e
wa
b
le
En
e
rg
y
Res
e
a
rc
h
,
v
o
l
.
1
0
,
n
o
.
1
,
p
p
.
4
5
-
5
3
,
2
0
2
0
.
[1
2
]
M
.
Nfa
o
u
i
a
n
d
K.
El
-
Ha
m
i,
“
Ex
t
ra
c
ti
n
g
t
h
e
m
a
x
imu
m
e
n
e
rg
y
fr
o
m
so
lar
p
an
e
ls,”
E
n
e
rg
y
Rep
o
rts
,
v
o
l.
4
,
p
p
.
5
3
6
-
5
4
5
,
2
0
1
8
,
d
o
i:
1
0
.
1
0
1
6
/
j.
e
g
y
r.
2
0
1
8
.
0
5
.
0
0
2
.
[1
3
]
M
.
R.
B
.
Kh
a
n
,
J.
P
a
su
p
u
leti,
J.
Al
-
F
a
tt
a
h
,
a
n
d
M
.
Tah
m
a
se
b
i,
“
En
e
rg
y
M
a
n
a
g
e
m
e
n
t
sy
s
te
m
fo
r
P
V
-
b
a
t
tery
m
icro
g
ri
d
b
a
se
d
o
n
m
o
d
e
l
p
re
d
ictiv
e
c
on
tr
o
l,
”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
tri
c
a
l
E
n
g
i
n
e
e
rin
g
a
n
d
Co
m
p
u
ter
S
c
ien
c
e
,
v
o
l.
1
5
,
n
o
.
1
,
p
p
.
2
0
-
2
5
,
2
0
1
9
.
d
o
i:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
5
.
i
1
.
p
p
2
0
-
2
6
.
[1
4
]
O.
N
.
M
e
n
s
o
u
r,
S
.
Bo
u
a
d
d
i
,
B.
Ab
n
a
y
,
B.
Hlimi,
a
n
d
A.
I
h
lal,
“
M
a
p
p
i
n
g
a
n
d
e
stim
a
ti
o
n
o
f
m
o
n
t
h
ly
g
l
o
b
a
l
s
o
lar
irrad
iatio
n
i
n
d
iffere
n
t
z
o
n
e
s
in
S
o
u
ss
-
M
a
ss
a
a
re
a
,
M
o
ro
c
c
o
,
U
sin
g
Artif
icia
l
Ne
u
ra
l
Ne
two
rk
s
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
P
h
o
t
o
e
n
e
rg
y
,
2
0
1
7
,
d
o
i:
1
0
.
1
1
5
5
/2
0
1
7
/
8
5
4
7
4
3
7
.
[1
5
]
C.
G
u
rlek
a
n
d
M
.
S
a
h
i
n
,
“
Esti
m
a
ti
o
n
o
f
t
h
e
g
l
o
b
a
l
so
lar
ra
d
iatio
n
with
th
e
a
rti
ficia
l
n
e
u
ra
l
n
e
tw
o
rk
s
fo
r
th
e
c
it
y
o
f
S
iv
a
s,”
Eu
r
o
p
e
a
n
M
e
c
h
a
n
ica
l
S
c
i
e
n
c
e
,
v
o
l
.
2
,
n
o
.
2
,
p
p
.
4
6
-
5
1
,
2
0
1
8
,
d
o
i:
1
0
.
2
6
7
0
1
/em
s.3
5
9
6
8
1
.
[1
6
]
J.
Alm
o
ro
x
a
n
d
C
.
Ho
n
to
ria,
“
G
lo
b
a
l
so
lar
ra
d
iati
o
n
e
stim
a
ti
o
n
u
sin
g
su
n
s
h
in
e
d
u
ra
ti
o
n
in
S
p
a
in
,
”
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.
4
5
,
n
o
.
9
-
1
0
,
p
p
.
1
5
2
9
-
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5
3
5
,
2
0
0
4
,
d
o
i:
1
0
.
1
0
1
6
/j
.
e
n
c
o
n
m
a
n
.
2
0
0
3
.
0
8
.
0
2
2
.
[1
7
]
K.
Bo
u
c
h
o
u
ich
a
,
N.
Ba
il
e
k
,
M
.
E.
S
.
M
a
h
m
o
u
d
,
J.
A
.
Alo
n
so
,
A
.
S
li
m
a
n
i,
a
n
d
A
b
d
a
ll
a
h
Dja
a
fa
ri,
“
Esti
m
a
ti
o
n
o
f
m
o
n
th
l
y
a
v
e
ra
g
e
d
a
il
y
g
lo
b
a
l
so
l
a
r
ra
d
iatio
n
u
si
n
g
m
e
teo
ro
l
o
g
ica
l
-
b
a
se
d
m
o
d
e
ls
in
Ad
ra
r,
Alg
e
ria,
”
Ap
p
li
e
d
S
o
l
a
r
En
e
rg
y
,
v
o
l.
5
4
,
n
o
.
6
,
p
p
.
4
4
8
-
4
5
5
,
2
0
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8
,
d
o
i:
1
0
.
3
1
0
3
/
S
0
0
0
3
7
0
1
X
1
8
0
6
0
0
4
X
.
[1
8
]
A.
Ko
c
a
,
H.
F
.
Oz
to
p
,
Y.
Va
ro
l,
a
n
d
G
.
O.
Ko
c
a
,
“
Esti
m
a
ti
o
n
o
f
s
o
l
a
r
ra
d
iatio
n
u
sin
g
a
rti
ficia
l
n
e
u
ra
l
n
e
two
rk
s wit
h
d
iffere
n
t
i
n
p
u
t
p
a
ra
m
e
ters
fo
r
m
e
d
it
e
rra
n
e
a
n
re
g
io
n
o
f
a
n
a
t
o
li
a
i
n
Tu
rk
e
y
,
”
Exp
e
rt
S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s
,
v
o
l.
3
8
,
n
o
.
7
,
p
p
.
8
7
5
6
-
8
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6
2
,
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0
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1
0
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j.
e
sw
a
.
2
0
1
1
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0
1
.
0
8
5
.
[1
9
]
V.
Z.
An
t
o
n
o
p
o
u
lo
s,
D.
M
.
P
a
p
a
m
ich
a
il
,
V.
G
.
As
c
h
o
n
it
is
,
a
n
d
A.
V.
An
t
o
n
o
p
o
u
l
o
s,
“
S
o
lar
ra
d
i
a
ti
o
n
e
st
ima
ti
o
n
m
e
th
o
d
s
u
s
in
g
AN
N
a
n
d
e
m
p
iri
c
a
l
m
o
d
e
ls,”
Co
mp
u
ter
s
a
n
d
El
e
c
tro
n
ics
in
A
g
ric
u
lt
u
re
,
v
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l.
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p
p
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p
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.
Re
h
m
a
n
a
n
d
M
.
M
o
h
a
n
d
e
s,
“
Artifi
c
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n
e
u
ra
l
n
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two
rk
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stim
a
ti
o
n
o
f
g
lo
b
a
l
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lar
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u
sin
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tu
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h
u
m
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it
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[2
1
]
M
.
Aliza
m
ir,
S
.
Kim
,
O.
Kisi,
a
n
d
M
.
Z
o
u
n
e
m
a
t
-
Ke
rm
a
n
i,
“
A
C
o
m
p
a
ra
ti
v
e
stu
d
y
o
f
se
v
e
ra
l
m
a
c
h
in
e
lea
rn
in
g
b
a
se
d
non
-
li
n
e
a
r
re
g
re
ss
io
n
m
e
th
o
d
s
in
e
stim
a
ti
n
g
so
lar
r
a
d
iati
o
n
:
Ca
se
s
tu
d
ies
o
f
t
h
e
USA
a
n
d
Tu
rk
e
y
re
g
io
n
s,”
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e
rg
y
,
v
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l.
1
9
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rg
y
.
2
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[2
2
]
R.
U.
K.
Na
d
y
a
,
A.
N.
A
h
m
e
d
,
A.
A.
Bo
r
h
a
n
a
,
N.
A
.
M
a
rd
h
ia
h
,
A.
El
-
S
h
a
fie,
a
n
d
A.
El
-
S
h
a
fie
,
“
Da
il
y
p
re
d
icti
o
n
s
o
f
so
lar
ra
d
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o
n
u
ti
li
z
in
g
g
e
n
e
t
ic
p
ro
g
ra
m
m
in
g
tec
h
n
iq
u
e
s,”
In
d
o
n
e
si
a
n
J
o
u
rn
a
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3
]
S.
A.
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h
a
se
m
p
o
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r
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n
d
M
.
B.
M
e
n
h
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j,
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n
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se
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[2
4
]
J.
Zen
g
a
n
d
W.
Qia
o
,
“
S
h
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ter
m
so
lar
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o
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re
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9
.
[2
5
]
S
.
Be
laid
a
n
d
A.
M
e
ll
it
,
“
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re
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icti
o
n
o
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a
il
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a
n
d
m
e
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n
m
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n
t
h
ly
g
l
o
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l
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lar
ra
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iati
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n
u
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g
su
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p
o
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t
v
e
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m
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rid
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li
m
a
te,”
En
e
rg
y
Co
n
v
e
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io
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n
d
M
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t
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n
.
2
0
1
6
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0
3
.
0
8
2
.
[2
6
]
M
.
M
a
rz
o
u
q
,
H.
El
F
a
d
i
li
,
Z
.
Lak
h
li
a
i
a
n
d
K.
Zen
k
o
u
a
r,
“
A
re
v
iew
o
f
so
lar
ra
d
iatio
n
p
re
d
icti
o
n
u
sin
g
a
rti
ficia
l
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e
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ra
l
n
e
two
rk
s,
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2
0
1
7
In
ter
n
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ti
o
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l
C
o
n
fer
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e
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n
W
ire
les
s
T
e
c
h
n
o
l
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ies
,
Emb
e
d
d
e
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d
I
n
telli
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S
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ms
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IT
S
)
,
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TS
.
2
0
1
7
.
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9
3
4
6
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8
.
[2
7
]
T.
Kh
a
ti
b
,
A.
M
o
h
a
m
e
d
,
M
.
M
a
h
m
o
u
d
,
a
n
d
K.
S
o
p
ian
,
“
M
o
d
e
li
n
g
o
f
d
a
il
y
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lar
e
n
e
rg
y
o
n
a
h
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rizo
n
tal
su
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c
e
fo
r
fiv
e
m
a
in
si
tes
in
M
a
lay
sia
,
”
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n
ter
n
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ti
o
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a
l
J
o
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l
o
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e
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En
e
rg
y
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l
.
8
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o
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5
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5
.
2
0
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1
.
6
0
2
1
5
6
.
[2
8
]
A.
K.
Ya
d
a
v
a
n
d
S
.
S
.
C
h
a
n
d
e
l,
“
S
o
lar
ra
d
iatio
n
p
re
d
icti
o
n
u
sin
g
a
rti
ficia
l
n
e
u
ra
l
n
e
tw
o
rk
tec
h
n
i
q
u
e
s:
A
re
v
iew
,
”
Ren
e
wa
b
le
a
n
d
S
u
sta
in
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b
le E
n
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rg
y
Rev
iews
,
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l
.
3
3
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p
.
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6
/
j.
rse
r.
2
0
1
3
.
0
8
.
0
5
5
.
[2
9
]
A.
Tek
e
a
n
d
H.
B.
Yild
iri
m
,
“
Esti
m
a
ti
n
g
th
e
m
o
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th
l
y
g
l
o
b
a
l
s
o
lar
ra
d
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n
fo
r
Eas
tern
M
e
d
it
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n
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a
n
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g
io
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,
”
En
e
rg
y
Co
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v
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io
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d
M
a
n
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e
me
n
t
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v
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l
.
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p
.
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o
n
m
a
n
.
2
0
1
4
.
0
7
.
0
5
2
.
[3
0
]
J.
C.
Lam
,
K.
K
.
W.
Wan
,
a
n
d
L.
Ya
n
g
,
“
S
o
lar
ra
d
iati
o
n
m
o
d
e
ll
in
g
u
sin
g
AN
Ns
fo
r
d
iffere
n
t
c
li
m
a
tes
in
Ch
in
a
,
”
En
e
rg
y
Co
n
v
e
rs
io
n
a
n
d
M
a
n
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g
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me
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t
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l.
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9
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.
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,
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m
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n
.
2
0
0
7
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0
9
.
0
2
1
.
[3
1
]
D.
H.
W.
Li
,
W.
Ch
e
n
,
S
.
Li
,
a
n
d
S
.
L
o
u
,
“
Esti
m
a
ti
o
n
o
f
h
o
u
r
ly
g
lo
b
a
l
so
lar
ra
d
iati
o
n
u
sin
g
m
u
lt
i
v
a
riate
a
d
a
p
ti
v
e
re
g
re
ss
io
n
sp
li
n
e
(M
ARS)
–
A
c
a
se
stu
d
y
o
f
Ho
n
g
Ko
n
g
,
”
E
n
e
rg
y
,
v
o
l
.
1
8
6
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0
1
9
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o
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6
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j.
e
n
e
rg
y
.
2
0
1
9
.
1
1
5
8
5
7
.
[3
2
]
F
.
Alb
u
,
A.
M
a
tee
sc
u
,
a
n
d
N.
Du
m
it
riu
,
“
Arc
h
it
e
c
tu
r
e
se
lec
ti
o
n
fo
r
a
m
u
lt
il
a
y
e
r
fe
e
d
fo
rwa
r
d
n
e
tw
o
r
k
,
”
in
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
M
icr
o
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lec
tro
n
ics
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
,
1
9
9
7
,
p
p
.
1
3
1
-
1
3
4
.
[3
3
]
T.
Cz
e
rn
ich
o
w,
A
.
G
e
rm
o
n
d
,
B.
Do
rizz
i
a
n
d
P
.
Ca
ire,
“
Im
p
ro
v
in
g
re
c
u
rre
n
t
n
e
two
r
k
lo
a
d
fo
re
c
a
stin
g
,
”
Pro
c
e
e
d
in
g
s
o
f
ICNN'9
5
-
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ne
u
r
a
l
N
e
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rk
s
,
1
9
9
5
,
p
p
.
8
9
9
-
9
0
4
v
o
l.
2
,
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o
i:
1
0
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1
1
0
9
/ICNN.
1
9
9
5
.
4
8
7
5
3
8
.
[3
4
]
A.
K.
Ya
d
a
v
,
H.
M
a
li
k
,
a
n
d
S
.
S
.
Ch
a
n
d
e
l,
“
S
e
lec
ti
o
n
o
f
m
o
st
re
lev
a
n
t
in
p
u
t
p
a
ra
m
e
ters
u
sin
g
WE
KA
fo
r
a
rti
ficia
l
n
e
u
ra
l
n
e
two
r
k
b
a
se
d
s
o
lar
ra
d
iat
io
n
p
re
d
icti
o
n
m
o
d
e
ls,”
Ren
e
wa
b
le
a
n
d
S
u
sta
i
n
a
b
le
En
e
rg
y
Rev
ie
ws
,
v
o
l
.
3
1
,
p
p
.
509
-
5
1
9
,
2
0
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4
,
d
o
i:
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0
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0
1
6
/j
.
rse
r.
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0
1
3
.
1
2
.
0
0
8
.
[3
5
]
A.
Ku
rn
iaw
a
n
a
n
d
E
.
S
h
in
tak
u
,
“
Esti
m
a
ti
o
n
o
f
t
h
e
m
o
n
t
h
l
y
g
l
o
b
a
l,
d
irec
t,
a
n
d
d
iffu
se
so
lar
ra
d
iati
o
n
in
Ja
p
a
n
u
si
n
g
a
rti
ficia
l
n
e
u
ra
l
n
e
tw
o
rk
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
M
a
c
h
i
n
e
L
e
a
rn
in
g
a
n
d
C
o
mp
u
ti
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g
,
v
o
l.
1
0
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o
.
2
,
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p
.
2
5
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-
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5
8
,
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0
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0
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d
o
i:
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0
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jmlc
.
2
0
2
0
.
1
0
.
2
.
9
2
8
.
[3
6
]
M
.
A.
Be
h
ra
n
g
,
E.
As
sa
re
h
,
A.
G
h
a
n
b
a
rz
a
d
e
h
,
a
n
d
A.
R.
N
o
g
h
re
h
a
b
a
d
i,
“
Th
e
p
o
ten
t
ial
o
f
d
iffere
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t
a
rti
ficia
l
n
e
u
ra
l
n
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or
k
(AN
N)
tec
h
n
i
q
u
e
s
i
n
d
a
il
y
g
lo
b
a
l
s
o
lar
ra
d
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o
n
m
o
d
e
li
n
g
b
a
se
d
o
n
m
e
teo
ro
l
o
g
ica
l
d
a
ta,”
S
o
l
ar
En
e
rg
y
,
v
o
l.
8
4
,
n
o
.
8
,
p
p
.
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4
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.
s
o
len
e
r.
2
0
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0
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0
5
.
0
0
9
.
[3
7
]
M.
M
a
rz
o
u
q
,
Z.
B
o
u
n
o
u
a
,
A.
M
e
c
h
a
q
ra
n
e
,
H.
E.
F
a
d
i
li
,
Z.
La
k
h
li
a
i,
a
n
d
K.
Zen
k
o
u
a
r,
“
AN
N
-
b
a
se
d
m
o
d
e
ll
in
g
a
n
d
p
re
d
ictio
n
o
f
d
a
il
y
g
lo
b
a
l
so
lar
ir
ra
d
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n
u
si
n
g
c
o
m
m
o
n
ly
m
e
a
su
re
d
m
e
teo
ro
lo
g
ica
l
p
a
ra
m
e
ters
,
”
IOP
Co
n
fer
e
n
c
e
S
e
rie
s: E
a
rth
a
n
d
E
n
v
iro
n
me
n
ta
l
S
c
ien
c
e
,
v
o
l.
1
6
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o
.
1
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2
0
1
8
,
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o
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:
1
0
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0
8
8
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7
5
5
-
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3
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6
1
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0
1
2
0
1
7
.
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