I
nte
rna
t
io
na
l J
o
urna
l o
f
Appl
ied P
o
wer
E
ng
i
neer
ing
(
I
J
AP
E
)
Vo
l.
1
4
,
No
.
2
,
J
u
n
e
20
2
5
,
p
p
.
432
~
4
4
0
I
SS
N:
2252
-
8
7
9
2
,
DOI
: 1
0
.
1
1
5
9
1
/ijap
e.
v
1
4
.
i
2
.
p
p
432
-
440
432
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
a
p
e.
ia
esco
r
e.
co
m
Predic
tion o
f
win
d power
with
va
rio
us a
ir speed usin
g
neuro
-
fu
zzy lo
g
ic
in MAT
LAB
Na
im
ur
Ra
hm
a
n T
us
ha
r
1
, M
d
.
T
a
nv
ir
Ahm
ed
S
hu
v
o
1
,
Dilip
K
um
a
r
Da
s
2
,
Su
m
a
n Cho
wdhu
ry
1
1
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
i
c
a
l
a
n
d
El
e
c
t
r
o
n
i
c
E
n
g
i
n
e
e
r
i
n
g
,
I
n
t
e
r
n
a
t
i
o
n
a
l
U
n
i
v
e
r
si
t
y
o
f
B
u
s
i
n
e
ss A
g
r
i
c
u
l
t
u
r
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
D
h
a
k
a
,
B
a
n
g
l
a
d
e
s
h
2
D
e
p
a
r
t
me
n
t
o
f
M
a
t
h
e
m
a
t
i
c
s
,
I
n
t
e
r
n
a
t
i
o
n
a
l
U
n
i
v
e
r
si
t
y
o
f
B
u
si
n
e
ss A
g
r
i
c
u
l
t
u
r
e
a
n
d
Te
c
h
n
o
l
o
g
y
,
D
h
a
k
a
,
B
a
n
g
l
a
d
e
sh
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Ma
r
1
9
,
2
0
2
4
R
ev
is
ed
Dec
1
4
,
2
0
2
4
Acc
ep
ted
J
an
1
6
,
2
0
2
5
Th
e
e
n
e
rg
y
c
risis
in
Ba
n
g
lad
e
sh
h
a
s
p
e
rsiste
d
f
o
r
m
a
n
y
y
e
a
rs,
p
re
d
o
m
in
a
n
tl
y
re
li
a
n
t
o
n
f
o
ss
il
fu
e
ls
f
o
r
p
o
we
r
g
e
n
e
ra
ti
o
n
,
wh
ich
is
b
o
th
e
c
o
n
o
m
ica
ll
y
a
n
d
e
n
v
iro
n
m
e
n
tally
c
o
stl
y
.
It
is
imp
e
ra
ti
v
e
to
tra
n
siti
o
n
a
wa
y
fr
o
m
f
o
ss
il
fu
e
ls
to
wa
rd
s
m
o
re
c
o
st
-
e
ffe
c
ti
v
e
a
n
d
e
c
o
-
frien
d
l
y
e
n
e
rg
y
s
o
u
rc
e
s.
Wi
n
d
e
n
e
rg
y
p
re
se
n
ts
a
v
ia
b
le
so
l
u
ti
o
n
to
a
l
lev
iate
th
is
c
risis,
e
sp
e
c
ially
c
o
n
sid
e
rin
g
Ba
n
g
lad
e
sh
'
s
e
x
ten
siv
e
c
o
a
stli
n
e
,
o
ffe
rin
g
g
re
a
t
p
o
ten
ti
a
l
f
o
r
h
a
rn
e
ss
in
g
sig
n
ifi
c
a
n
t
a
m
o
u
n
ts
o
f
e
lec
tri
c
it
y
.
Ex
ten
si
v
e
fe
p
re
se
a
rc
h
h
a
s
b
e
e
n
c
o
n
d
u
c
ted
o
n
t
h
e
fe
a
sib
il
it
y
o
f
d
e
p
lo
y
in
g
wi
n
d
t
u
rb
in
e
s
a
c
ro
ss
v
a
rio
u
s
c
o
a
sta
l
z
o
n
e
s
to
g
e
n
e
ra
te
p
o
we
r
a
n
d
fa
c
il
it
a
te
irri
g
a
ti
o
n
se
a
so
n
s.
T
h
is
re
se
a
rc
h
d
e
lv
e
s
in
t
o
t
h
e
o
p
e
ra
ti
o
n
a
l
p
rin
c
i
p
les
a
n
d
p
e
r
fo
rm
a
n
c
e
p
a
ra
m
e
ters
o
f
wi
n
d
tu
r
b
in
e
s.
A
m
o
d
ifi
e
d
fa
n
is
u
ti
li
z
e
d
t
o
a
ss
e
ss
p
o
we
r
g
e
n
e
ra
ti
o
n
u
n
d
e
r
v
a
ry
in
g
a
ir
sp
e
e
d
s,
with
d
a
ta
a
n
a
l
y
sis
c
o
n
d
u
c
ted
u
sin
g
n
e
u
r
o
-
fu
z
z
y
l
o
g
ic.
Th
e
fin
d
i
n
g
s
re
v
e
a
l
a
m
in
ima
l
p
e
rc
e
n
tag
e
e
rr
o
r
o
f
0
.
0
9
,
u
n
d
e
rsc
o
ri
n
g
th
e
re
li
a
b
il
it
y
o
f
th
e
p
ro
p
o
se
d
f
u
z
z
y
m
o
d
e
l
i
n
p
re
d
ic
ti
n
g
win
d
p
o
we
r
o
u
t
p
u
t
b
a
se
d
o
n
win
d
sp
e
e
d
.
Th
is
u
n
d
e
rsc
o
re
s
th
e
p
o
ten
ti
a
l
fo
r
lev
e
ra
g
in
g
wi
n
d
e
n
e
rg
y
a
s
a
su
sta
in
a
b
le
a
n
d
re
li
a
b
le
a
lt
e
r
n
a
ti
v
e
to
fo
ss
il
fu
e
ls
i
n
a
d
d
re
ss
in
g
Ba
n
g
lad
e
sh
'
s
e
n
e
rg
y
c
h
a
ll
e
n
g
e
s.
K
ey
w
o
r
d
s
:
ANFI
S
MA
T
L
AB
Neu
r
o
-
f
u
zz
y
lo
g
ic
T
u
r
b
in
e
W
in
d
p
o
wer
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Su
m
an
C
h
o
wd
h
u
r
y
Dep
ar
tm
en
t o
f
E
lectr
ical
an
d
E
lectr
o
n
ic
E
n
g
i
n
ee
r
in
g
I
n
ter
n
atio
n
al
U
n
iv
er
s
ity
o
f
B
u
s
in
ess
Ag
r
icu
ltu
r
e
an
d
T
ec
h
n
o
lo
g
y
Dh
ak
a
-
1
2
3
0
,
B
an
g
la
d
esh
E
m
ail:
s
u
m
an
@
iu
b
at.
ed
u
1.
I
NT
RO
D
UCT
I
O
N
Alth
o
u
g
h
B
an
g
la
d
esh
is
an
a
g
r
icu
ltu
r
e
-
b
ased
co
u
n
tr
y
b
u
t
i
n
r
ec
en
t
y
ea
r
s
it
h
as
h
u
g
e
in
v
estme
n
t
in
s
m
all
an
d
m
e
d
iu
m
le
v
el
in
d
u
s
tr
y
.
Fo
r
g
r
o
win
g
in
d
u
s
tr
ializatio
n
an
d
u
r
b
an
izatio
n
,
ele
ctr
icity
d
em
an
d
is
in
cr
ea
s
in
g
v
er
y
f
ast.
T
h
e
g
o
v
er
n
m
en
t
h
as
in
tr
o
d
u
c
ed
s
o
m
e
s
h
o
r
t
-
ter
m
leasin
g
p
r
o
g
r
a
m
s
th
at
m
o
s
tly
r
ely
o
n
d
iesel
an
d
f
u
r
n
ac
e
o
il.
Sin
ce
m
o
s
t
o
f
th
e
p
o
wer
s
tatio
n
is
u
s
in
g
n
atu
r
al
g
as,
s
o
ce
r
tain
ly
th
er
e
is
a
s
h
o
r
tag
e
o
f
g
as
s
u
p
p
ly
wh
ich
a
f
f
ec
ts
th
e
elec
tr
icity
p
r
o
d
u
ctio
n
s
er
io
u
s
ly
.
B
u
t
th
is
in
itiativ
e
is
v
er
y
co
s
tly
a
n
d
th
e
g
o
v
er
n
m
en
t
h
as
to
g
iv
e
h
u
g
e
s
u
b
s
id
ies.
Asi
d
e
f
r
o
m
th
at,
Ka
p
tai
h
as
a
s
m
all
h
y
d
r
o
elec
tr
ic
p
o
wer
p
la
n
t
with
a
2
3
0
MW c
ap
ac
ity
.
Mo
r
eo
v
e
r
,
it h
as 2
3
2
r
iv
e
r
s
wh
o
s
e
f
lo
w
r
ate
is
s
u
itab
le
f
o
r
h
y
d
r
o
-
elec
tr
i
c
p
o
wer
g
e
n
er
atio
n
in
s
o
m
e
ex
ten
t
[
1
]
.
I
n
th
e
c
u
r
r
en
t
s
itu
atio
n
,
B
an
g
lad
esh
n
ee
d
s
to
s
witch
to
r
en
ewa
b
le
en
er
g
y
f
o
r
a
p
o
wer
s
o
lu
tio
n
.
W
in
d
is
o
n
e
o
f
t
h
e
g
r
ea
t
s
o
u
r
ce
s
th
at
ca
n
b
e
u
s
ed
t
o
y
ield
r
e
n
ewa
b
le
en
e
r
g
y
.
B
an
g
lad
esh
is
lo
ca
ted
b
etwe
en
2
0
.
3
4
-
an
d
2
6
.
3
8
-
d
e
g
r
ee
s
n
o
r
th
latitu
d
e
an
d
8
8
.
0
1
-
an
d
9
2
.
4
1
-
d
eg
r
ee
s
ea
s
t
latitu
d
e.
I
t
h
as
a
co
astl
in
e
o
f
alm
o
s
t
7
2
4
k
ilo
m
eter
s
[
2
]
.
I
t
h
as
alr
ea
d
y
b
ee
n
d
is
co
v
er
ed
th
at
m
o
d
est
win
d
tu
r
b
in
es
ca
n
b
e
in
s
talled
in
co
astal
ar
ea
s
.
B
o
th
co
s
t
an
al
y
s
is
an
d
tech
n
o
lo
g
ical
b
en
ef
i
ts
ar
e
n
ee
d
e
d
f
o
r
t
h
e
in
v
est
m
en
t
in
t
h
is
s
ec
to
r
.
Mu
h
u
r
i
Dam
,
Fen
i,
o
f
0
.
9
9
M
W
,
an
d
Ma
h
esh
k
h
ali
o
f
2
M
W
win
d
p
o
wer
p
lan
ts
ar
e
esta
b
lis
h
ed
h
er
e.
Du
r
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ap
p
l Po
wer
E
n
g
I
SS
N:
2252
-
8
7
9
2
P
r
ed
ictio
n
o
f wi
n
d
p
o
w
er w
ith
va
r
io
u
s
a
ir
s
p
ee
d
u
s
in
g
n
eu
r
o
-
fu
z
z
y
lo
g
ic
…
(
N
a
imu
r
R
a
h
m
a
n
Tu
s
h
a
r
)
433
th
e
ir
r
ig
atio
n
p
er
io
d
,
win
d
en
e
r
g
y
ca
n
b
e
u
tili
ze
d
f
o
r
ir
r
i
g
atio
n
,
th
at
will
b
e
h
elp
f
u
l
f
o
r
r
e
d
u
cin
g
en
e
r
g
y
cr
is
is
,
esp
ec
ially
in
r
u
r
al
ar
ea
s
.
Ho
wev
er
,
th
is
m
eth
o
d
co
n
s
id
er
e
d
th
e
ex
p
en
s
es
th
at
wer
e
h
ig
h
er
th
an
th
e
ac
tu
al
ex
p
en
d
itu
r
es.
W
in
d
p
o
wer
is
th
e
s
ec
o
n
d
m
o
s
t
af
f
o
r
d
ab
le
s
o
u
r
ce
o
f
elec
tr
icity
in
B
an
g
lad
esh
,
with
a
co
s
t
esti
m
ate
o
f
B
DT
6
p
er
k
W
h
,
co
m
in
g
af
ter
n
atu
r
al
g
as,
wh
ich
co
s
ts
B
DT
3
p
er
k
W
h
[
3
]
.
B
an
g
lad
esh
h
as
a
win
d
en
er
g
y
p
o
ten
tial
o
f
a
r
o
u
n
d
2
0
,
0
0
0
MW,
with
a
win
d
s
p
ee
d
o
f
less
th
an
7
m
eter
s
p
er
s
ec
o
n
d
.
W
in
d
en
er
g
y
r
esear
ch
in
B
an
g
lad
esh
is
s
tar
ted
s
o
m
e
y
ea
r
s
b
ac
k
,
an
d
it
h
as
al
r
ea
d
y
d
em
o
n
s
tr
ated
th
at
ce
r
tain
o
f
B
an
g
lad
esh
'
s
s
o
u
th
er
n
ar
ea
s
h
av
e
a
lo
t
o
f
p
o
ten
tial
f
o
r
win
d
en
er
g
y
[
4
]
,
[
5
]
.
W
in
d
p
o
wer
en
er
g
y
ca
n
r
ed
u
ce
th
e
d
ep
en
d
en
ce
o
n
f
o
s
s
il
f
u
el
[
6
]
.
W
in
d
e
n
er
g
y
ca
n
p
lay
a
v
ital
r
o
le
in
ab
atin
g
th
e
en
e
r
g
y
cr
is
is
[
7
]
.
W
in
d
is
an
ex
ce
llen
t
an
d
c
o
s
t
-
ef
f
ec
ti
v
e
s
o
u
r
ce
o
f
r
en
ewa
b
le
e
n
e
r
g
y
.
B
an
g
lad
esh
,
with
its
e
x
ten
s
iv
e
co
astl
in
e,
ex
p
er
ien
ce
s
co
n
s
is
ten
t
win
d
y
ea
r
-
r
o
u
n
d
.
T
h
is
m
ak
es
it
an
id
ea
l
lo
ca
tio
n
f
o
r
h
ar
n
ess
in
g
win
d
en
er
g
y
,
as
it
b
en
ef
its
f
r
o
m
v
ar
io
u
s
win
d
p
atter
n
s
th
r
o
u
g
h
o
u
t
t
h
e
y
ea
r
[
8
]
.
T
h
e
a
n
aly
s
is
p
r
esen
ted
in
t
h
is
p
ap
er
in
d
icate
s
th
at
a
m
ix
o
f
r
e
n
ewa
b
le
en
e
r
g
y
,
c
o
al,
a
n
d
u
r
an
iu
m
is
th
e
m
o
s
t
ef
f
ec
tiv
e
o
p
tio
n
f
o
r
la
r
g
e
-
ca
p
ac
ity
p
o
wer
p
lan
ts
in
B
an
g
lad
esh
to
m
ee
t
th
e
co
u
n
tr
y
'
s
elec
tr
icity
d
em
a
n
d
[
9
]
.
T
h
e
th
r
u
s
t
in
cr
ea
s
es
as
th
e
win
d
v
elo
city
in
cr
ea
s
es,
b
u
t
d
ec
r
ea
s
es
as
th
e
p
itch
an
g
le
in
cr
ea
s
es.
T
h
er
e
is
an
id
ea
l
p
itch
a
n
g
le
f
o
r
a
g
iv
en
win
d
v
elo
city
at
wh
ich
th
e
tu
r
b
in
e
g
en
er
ates
th
e
m
o
s
t
p
o
wer
.
T
h
e
s
tall
ch
ar
a
cter
is
tics
o
f
th
e
air
f
o
il
b
lad
e
h
av
e
b
ee
n
lin
k
e
d
to
th
e
ef
f
ec
t o
f
p
itch
an
g
le
o
n
th
e
p
o
wer
p
r
o
d
u
ce
d
[
1
0
]
.
I
n
r
ec
e
n
t
y
ea
r
s
,
t
h
e
en
e
r
g
y
d
em
an
d
o
f
B
an
g
lad
esh
h
as
in
cr
ea
s
ed
s
ig
n
if
ican
tly
f
o
r
its
ex
p
an
d
i
n
g
ec
o
n
o
m
ic
d
ev
elo
p
m
en
t
an
d
p
o
p
u
latio
n
s
ize
[
1
1
]
.
Fr
o
m
Ma
r
ch
to
Sep
tem
b
er
,
th
is
win
d
b
l
o
ws
at
a
s
p
ee
d
o
f
3
to
6
m
/s
o
v
er
th
e
s
u
r
f
ac
e
o
f
B
an
g
lad
esh
.
W
in
d
s
p
ee
d
is
o
f
ten
lo
wer
f
r
o
m
Octo
b
e
r
to
Feb
r
u
ar
y
.
I
n
J
u
n
e
-
J
u
l
y
,
th
e
m
ax
im
u
m
win
d
s
p
ee
d
is
r
ea
ch
ed
.
Pu
ttin
g
u
p
win
d
tu
r
b
i
n
es
alo
n
g
th
e
co
ast
co
u
l
d
b
e
a
b
etter
way
to
h
elp
th
e
n
atio
n
al
g
r
i
d
.
Asi
d
e
f
r
o
m
th
ese
lo
ca
tio
n
s
,
B
an
g
lad
esh
h
as
m
an
y
m
o
u
n
tain
o
u
s
zo
n
es
an
d
r
em
o
te
is
lan
d
s
wh
er
e
win
d
f
lo
ws
at
a
c
o
n
s
tan
t
s
p
ee
d
o
f
2
to
5
m
/s
th
r
o
u
g
h
o
u
t
th
e
y
ea
r
[
1
2
]
.
B
an
g
lad
esh
c
an
g
et
6
5
0
MW
o
f
en
er
g
y
f
r
o
m
a
co
astal
ar
ea
th
r
o
u
g
h
win
d
p
o
we
r
[
1
3
]
.
Fo
r
a
l
o
n
g
co
astal
ar
ea
,
it
p
r
o
d
u
ce
s
a
s
ig
n
if
ican
t
am
o
u
n
t
o
f
elec
tr
icity
f
o
r
ag
r
icu
ltu
r
al
p
r
o
d
u
ctio
n
[
1
4
]
.
B
ased
o
n
th
e
win
d
p
o
wer
d
en
s
ity
(
W
PD)
a
n
d
th
e
m
ap
p
e
d
r
o
t
o
r
d
iam
eter
o
f
tu
r
b
in
es
f
o
r
d
if
f
er
en
t
win
d
p
o
wer
class
es,
it
h
as
b
ee
n
d
eter
m
in
ed
th
at
lar
g
e
-
s
ca
le
win
d
t
u
r
b
in
es
ar
e
v
iab
le
in
C
h
ittag
o
n
g
an
d
J
ess
o
r
e,
m
ed
iu
m
-
s
ca
le
tu
r
b
in
es
in
Kh
ep
u
p
ar
a
,
an
d
s
m
all
-
s
ca
le
tu
r
b
in
es
in
C
o
x
'
s
B
az
ar
an
d
Hatiy
a
[
1
5
]
.
I
n
t
h
e
p
r
esen
t
d
ay
,
t
o
m
ea
s
u
r
e
th
e
p
o
ten
tiality
o
f
win
d
p
o
wer
n
eu
r
o
-
f
u
zz
y
lo
g
ic
s
y
s
tem
is
u
s
ed
s
in
ce
th
is
s
y
s
tem
h
as
a
g
o
o
d
ac
cu
r
ac
y
f
o
r
p
r
ed
ictio
n
[
1
6
]
.
Sh
ao
et
a
l
.
[
1
7
]
s
tated
in
th
eir
r
esear
ch
p
r
esen
te
d
a
n
ew
wi
n
d
tu
r
b
in
e
co
n
tr
o
l
s
tr
ateg
y
th
at
in
v
o
l
v
es
u
s
in
g
a
PID
c
o
n
tr
o
ller
an
d
p
ar
ticle
s
war
m
o
p
tim
izatio
n
to
c
o
n
tr
o
l
th
e
p
itch
an
g
le,
wh
ich
m
u
s
t
b
e
r
eg
u
lated
to
ca
p
tu
r
e
th
e
m
ax
im
u
m
a
m
o
u
n
t
o
f
p
o
wer
.
Du
e
to
its
ad
v
an
ce
d
ca
p
ab
ilit
ies
co
m
p
ar
ed
to
o
th
e
r
d
ee
p
lear
n
in
g
an
d
s
tatis
tical
m
o
d
els,
th
e
g
ated
r
ec
u
r
r
en
t
u
n
it
(
GR
U)
m
o
d
el
is
well
-
s
u
ited
f
o
r
p
r
ed
ictin
g
win
d
tu
r
b
in
e
o
u
tp
u
t p
o
we
r
[
1
8
]
.
T
h
e
r
esu
lts
p
r
o
d
u
ce
d
b
y
th
e
f
u
zz
y
-
b
ased
tech
n
iq
u
e
ar
e
v
er
y
s
im
ilar
to
t
h
e
ca
lcu
lated
v
a
lu
es
wh
en
co
m
p
ar
ed
to
th
o
s
e
o
b
tain
ed
u
s
in
g
th
e
m
o
d
el
p
r
ed
ictiv
e
-
b
ased
tech
n
iq
u
e
[
1
9
]
.
T
h
e
ad
ap
tiv
e
f
u
zz
y
lo
g
ic
co
n
tr
o
ller
(
AFLC)
m
eth
o
d
is
wid
ely
f
av
o
r
ed
d
u
e
to
its
r
ap
id
r
esp
o
n
s
e
an
d
s
u
p
er
io
r
p
er
f
o
r
m
an
ce
co
m
p
ar
e
d
to
tr
ad
itio
n
al
f
u
zz
y
lo
g
ic
co
n
tr
o
ller
(
FLC)
an
d
p
er
tu
r
b
an
d
o
b
s
er
v
e
(
P&
O)
s
tr
ateg
ies
[
2
0
]
.
W
i
n
d
p
o
w
e
r
s
it
e
s
e
l
e
ct
i
o
n
is
a
ls
o
a
n
i
m
p
o
r
t
a
n
t
f
a
c
t
o
r
i
n
g
e
tt
i
n
g
o
p
t
i
m
u
m
p
o
w
e
r
f
r
o
m
t
h
e
w
i
n
d
t
u
r
b
i
n
e.
W
i
n
d
p
o
w
e
r
ca
n
c
o
n
t
r
i
b
u
t
e
a
g
o
o
d
r
o
l
e
i
n
t
h
e
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
p
r
o
c
e
s
s
i
n
B
an
g
l
a
d
e
s
h
.
N
o
w
a
h
y
b
r
i
d
w
i
n
d
s
o
l
a
r
p
o
w
e
r
s
y
s
te
m
i
s
b
e
c
o
m
i
n
g
a
p
o
p
u
l
a
r
s
c
h
e
m
e
t
h
r
o
u
g
h
o
u
t
t
h
e
w
o
r
l
d
.
S
u
b
s
e
q
u
e
n
t
l
y
,
t
h
e
h
y
b
r
i
d
p
o
w
e
r
i
s
a
v
e
r
y
l
u
c
r
a
t
i
v
e
p
o
w
e
r
m
o
d
e
l
t
h
a
t
is
v
e
r
y
s
u
it
a
b
l
e
i
n
t
h
e
c
o
a
s
t
al
a
r
e
as
o
f
B
a
n
g
l
a
d
es
h
[
2
1
]
-
[
2
5
]
.
W
i
n
d
e
n
e
r
g
y
o
p
t
i
m
i
za
t
i
o
n
is
v
e
r
y
c
h
a
l
l
e
n
g
i
n
g
i
n
t
h
e
p
r
e
s
en
t
w
o
r
l
d
.
S
o
,
p
o
w
e
r
g
e
n
e
r
a
ti
o
n
b
y
w
i
n
d
s
h
o
u
l
d
b
e
a
n
a
l
y
z
e
d
i
n
a
d
e
e
p
m
a
n
n
e
r
o
f
c
o
n
c
e
r
n
.
F
r
o
m
t
h
i
s
a
s
p
e
c
t
,
t
h
i
s
r
es
e
a
r
c
h
s
t
u
d
y
h
a
s
b
e
e
n
c
a
r
r
i
e
d
o
u
t
.
T
h
i
s
p
a
p
e
r
h
a
s
i
n
i
t
i
at
e
d
t
h
e
e
x
p
e
r
im
e
n
t
s
e
t
u
p
f
o
r
t
h
e
w
i
n
d
p
o
w
e
r
s
y
s
t
e
m
i
n
a
s
m
al
l
s
ca
l
e
to
o
b
s
e
r
v
e
t
h
e
p
o
w
e
r
p
e
r
f
o
r
m
a
n
c
e
.
T
o
i
n
v
e
s
t
i
g
a
t
e
t
h
e
f
o
r
e
c
a
s
t
i
n
g
o
f
w
i
n
d
p
o
w
e
r
,
a
s
e
r
i
es
o
f
d
a
t
a
h
a
s
b
e
e
n
o
b
t
a
i
n
e
d
f
r
o
m
t
h
e
p
r
a
c
t
i
c
a
l
s
e
t
u
p
.
I
n
a
d
d
i
t
i
o
n
,
f
o
r
f
o
r
e
c
as
ti
n
g
t
h
e
wi
n
d
p
o
w
e
r
,
a
f
u
z
z
y
l
o
g
i
c
a
l
g
o
r
i
t
h
m
h
as
b
e
e
n
i
m
p
l
e
m
e
n
t
e
d
i
n
MA
T
L
AB
S
i
m
u
l
i
n
k
e
n
v
i
r
o
n
m
e
n
t
.
F
i
n
a
ll
y
,
a
b
r
i
e
f
d
a
t
a
a
n
a
l
y
s
i
s
h
a
s
b
e
en
p
r
e
s
e
n
t
e
d
i
n
t
h
i
s
p
a
p
e
r
s
h
o
w
i
n
g
t
h
e
a
c
c
u
r
a
c
y
o
f
f
o
r
e
c
a
s
t
i
n
g
t
h
r
o
u
g
h
g
r
a
p
h
i
c
a
l
an
a
l
y
s
is
.
2.
M
E
T
H
O
DO
L
O
G
Y
A
m
o
d
if
ied
f
a
n
is
co
n
n
ec
ted
to
a
DC
m
o
to
r
,
an
d
estab
lis
h
ed
th
e
co
n
n
ec
tio
n
to
t
h
e
lo
ad
u
s
in
g
a
m
u
ltime
ter
.
Data
h
as
b
ee
n
m
ea
s
u
r
ed
u
s
in
g
an
a
n
em
o
m
eter
wh
ile
co
n
n
ec
ted
to
a
win
d
s
o
u
r
ce
.
Data
h
as
b
ee
n
in
p
u
t
in
to
MA
T
L
AB
an
d
em
p
lo
y
ed
a
n
e
u
r
o
-
f
u
zz
y
lo
g
ic
s
y
s
tem
d
u
r
in
g
s
im
u
latio
n
.
Fin
ally
,
o
u
tco
m
es
h
av
e
b
ee
n
ev
al
u
ated
a
n
d
p
u
t
in
t
o
p
r
ac
tice.
A
v
o
lta
g
e
co
n
tr
o
ller
,
s
h
o
wn
in
F
ig
u
r
e
1
is
a
d
ev
ice
o
r
s
y
s
tem
u
s
ed
to
r
eg
u
late
an
d
co
n
tr
o
l
th
e
v
o
lta
g
e
lev
els
in
a
n
elec
tr
ical
cir
cu
it.
I
t
is
d
esig
n
ed
to
m
ain
tain
a
s
tab
le
an
d
d
esire
d
v
o
ltag
e
o
u
tp
u
t d
esp
ite
f
l
u
ctu
at
io
n
s
in
th
e
in
p
u
t v
o
ltag
e
.
Data
h
as b
ee
n
tak
en
f
r
o
m
a
m
u
ltime
ter
ev
er
y
tim
e
as g
en
e
r
a
ted
in
DC
o
u
tp
u
t v
o
ltag
e,
o
u
t
p
u
t c
u
r
r
en
t
,
an
d
air
s
p
ee
d
b
y
a
n
em
o
m
eter
as
in
p
u
t
,
an
d
ca
lcu
lated
p
o
wer
o
u
tp
u
t.
T
h
e
ANFI
S
m
o
d
el
is
g
iv
e
n
as
Fig
u
r
e
2
.
An
ad
ap
tiv
e
n
e
u
r
o
-
f
u
zz
y
in
f
er
en
ce
s
y
s
tem
(
ANFI
S)
s
h
o
wn
in
Fig
u
r
e
2
,
is
a
co
m
p
u
tatio
n
al
m
o
d
el
th
at
co
m
b
in
es
th
e
s
tr
en
g
th
s
o
f
a
r
tific
ial
n
eu
r
al
n
etwo
r
k
s
an
d
f
u
zz
y
lo
g
ic
to
p
e
r
f
o
r
m
v
ar
io
u
s
p
u
r
p
o
s
es,
in
clu
d
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
9
2
I
n
t J Ap
p
l Po
wer
E
n
g
,
Vo
l.
1
4
,
No
.
2
,
J
u
n
e
20
2
5
:
432
-
44
0
434
p
atter
n
r
ec
o
g
n
itio
n
,
p
r
e
d
ictio
n
,
an
d
s
y
s
tem
c
o
n
tr
o
l.
ANFI
S
em
p
lo
y
s
a
f
u
zz
y
i
n
f
er
en
ce
s
y
s
tem
th
at
ad
a
p
ts
an
d
lear
n
s
f
r
o
m
d
ata,
allo
win
g
it t
o
m
o
d
el
c
o
m
p
lex
r
elatio
n
s
h
ip
s
b
etwe
en
in
p
u
ts
an
d
o
u
tp
u
ts
.
A
m
em
b
er
s
h
ip
f
u
n
ctio
n
in
p
u
t
d
iag
r
am
s
h
o
wn
in
Fig
u
r
e
3
is
a
g
r
ap
h
ical
r
ep
r
esen
tatio
n
u
s
ed
in
f
u
zz
y
lo
g
ic
s
y
s
tem
s
to
illu
s
tr
ate
h
o
w
n
u
m
er
ical
in
p
u
t
v
alu
es
ar
e
tr
an
s
lated
in
to
lin
g
u
is
tic
ter
m
s
o
r
f
u
zz
y
s
ets.
I
t
d
is
p
lay
s
th
e
in
p
u
t
v
ar
iab
les
o
n
th
e
h
o
r
izo
n
tal
ax
is
,
s
h
o
wca
s
in
g
th
e
en
tire
r
an
g
e
o
f
p
o
s
s
ib
le
v
alu
es
f
o
r
a
g
iv
en
p
ar
am
eter
.
T
h
ese
v
alu
es
ar
e
t
h
en
ass
o
ciate
d
with
v
a
r
io
u
s
li
n
g
u
is
tic
ter
m
s
o
r
f
u
zz
y
s
ets.
E
ac
h
lin
g
u
is
tic
s
et
is
r
ep
r
esen
ted
b
y
a
m
em
b
er
s
h
ip
f
u
n
ctio
n
,
ty
p
ically
d
ep
icted
as
cu
r
v
es
o
r
s
h
ap
es.
A
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
u
tp
u
t
d
iag
r
am
is
a
v
is
u
al
to
o
l
in
f
u
zz
y
lo
g
ic
s
y
s
tem
s
th
at
illu
s
tr
ates
h
o
w
f
u
zz
y
o
u
t
p
u
t
v
alu
es,
r
ep
r
esen
ted
as
lin
g
u
is
tic
ter
m
s
o
r
f
u
zz
y
s
ets,
ar
e
co
n
v
er
te
d
in
to
cr
is
p
o
r
n
u
m
er
ical
v
alu
es.
Ou
tp
u
t
v
ar
iab
l
es
ar
e
d
is
p
lay
ed
o
n
a
h
o
r
izo
n
tal
ax
is
,
with
ea
ch
lin
g
u
is
tic
ter
m
lin
k
ed
to
a
s
p
ec
if
ic
m
em
b
er
s
h
ip
f
u
n
ctio
n
.
T
h
is
d
iag
r
am
aid
s
in
u
n
d
er
s
tan
d
i
n
g
th
e
t
r
an
s
f
o
r
m
atio
n
o
f
f
u
zz
y
r
esu
lts
in
to
p
r
ec
is
e
n
u
m
er
ical
v
alu
es,
m
ak
in
g
it
ess
en
tial
f
o
r
d
ec
is
io
n
-
m
a
k
in
g
an
d
co
n
tr
o
l
s
y
s
tem
s
in
v
ar
io
u
s
ap
p
licatio
n
s
.
W
e
g
et
th
e
in
p
u
t
an
d
o
u
tp
u
t
s
tr
u
ctu
r
e
f
r
o
m
o
u
r
m
o
d
el.
Fig
u
r
e
1
.
Vo
ltag
e
c
o
n
tr
o
ller
w
ith
L
E
D
Fig
u
r
e
2
.
Pro
p
o
s
ed
m
o
d
el
Fig
u
r
e
3.
MF
d
iag
r
am
(
in
p
u
t
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ap
p
l Po
wer
E
n
g
I
SS
N:
2252
-
8
7
9
2
P
r
ed
ictio
n
o
f wi
n
d
p
o
w
er w
ith
va
r
io
u
s
a
ir
s
p
ee
d
u
s
in
g
n
eu
r
o
-
fu
z
z
y
lo
g
ic
…
(
N
a
imu
r
R
a
h
m
a
n
Tu
s
h
a
r
)
435
A
s
tr
u
ctu
r
al
d
iag
r
am
o
f
a
n
ad
ap
tiv
e
n
e
u
r
o
-
f
u
zz
y
in
f
e
r
en
ce
s
y
s
tem
(
ANFI
S)
s
h
o
wn
i
n
Fig
u
r
e
4
o
u
tlin
es
th
e
k
ey
co
m
p
o
n
e
n
ts
o
f
th
is
h
y
b
r
id
c
o
m
p
u
tatio
n
a
l
m
o
d
el.
I
t
ty
p
ically
in
clu
d
es
an
in
p
u
t
lay
er
f
o
r
n
u
m
er
ical
d
ata,
a
f
u
zz
if
icatio
n
lay
er
to
co
n
v
er
t
in
p
u
ts
in
to
f
u
zz
y
v
alu
es,
a
r
u
le
la
y
er
th
at
co
m
p
u
tes
r
u
le
f
ir
in
g
s
tr
en
g
th
s
,
a
co
n
s
eq
u
en
t
lay
er
to
d
eter
m
in
e
o
u
t
p
u
t
v
alu
es,
a
n
o
r
m
aliza
tio
n
lay
er
to
ad
ju
s
t
o
u
tp
u
ts
,
an
d
a
n
o
u
tp
u
t
la
y
er
f
o
r
th
e
f
in
al
n
u
m
er
ical
r
esu
lt.
ANFI
S
ca
n
v
ar
y
in
co
m
p
le
x
ity
d
e
p
en
d
i
n
g
o
n
th
e
p
r
o
b
lem
,
an
d
its
s
tr
u
ctu
r
al
d
iag
r
am
illu
s
tr
ates
h
o
w
it
c
o
m
b
in
es
n
eu
r
al
n
etw
o
r
k
s
an
d
f
u
zz
y
lo
g
ic
to
m
ak
e
d
ec
is
io
n
s
b
ased
o
n
b
o
th
q
u
an
titativ
e
an
d
q
u
alitativ
e
d
ata.
So
m
e
d
ata
f
r
o
m
o
u
r
d
ata
ar
e
u
s
ed
as
te
s
tin
g
d
ata
an
d
t
h
e
r
est
d
ata
as
tr
ain
in
g
d
ata.
Fig
u
r
e
5
r
ep
r
esen
ts
th
e
tr
ain
in
g
d
ata
er
r
o
r
.
I
t
is
n
o
tice
d
th
at
s
o
m
e
er
r
o
r
s
in
th
e
test
in
g
d
ata
wh
ich
in
ab
o
u
t
0
to
6
%
wh
ich
is
s
h
o
wn
in
Fig
u
r
e
6
.
T
o
f
in
d
o
u
t
th
e
er
r
o
r
,
th
e
tr
ain
i
n
g
an
d
test
in
g
d
ata
ar
e
a
d
d
ed
f
ir
s
t.
T
h
en
tr
ai
n
in
g
d
ata
an
d
f
in
all
y
test
in
g
t
h
e
d
ata.
I
t
is
s
ee
n
in
th
e
d
iag
r
am
b
elo
w.
W
h
er
e
th
e
b
l
u
e
d
o
ts
ar
e
t
h
e
m
ea
s
u
r
ed
av
er
ag
e
p
o
wer
d
ata
a
n
d
t
h
e
r
e
d
d
o
ts
a
r
e
o
u
r
t
r
u
e
a
v
er
ag
e
p
o
wer
o
f
o
u
r
test
in
g
d
ata.
Af
ter
u
s
in
g
n
e
u
r
o
f
u
zz
y
lo
g
ic
s
y
s
tem
o
n
tr
ain
in
g
an
d
t
esti
n
g
d
ata,
th
e
f
o
llo
win
g
d
ia
g
r
am
is
o
b
tain
ed
.
Fig
u
r
e
4
.
Stru
ctu
r
al
d
iag
r
am
Fig
u
r
e
5
.
T
r
ain
in
g
d
ata
er
r
o
r
Fig
u
r
e
6
.
T
esti
n
g
d
ata
e
r
r
o
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
9
2
I
n
t J Ap
p
l Po
wer
E
n
g
,
Vo
l.
1
4
,
No
.
2
,
J
u
n
e
20
2
5
:
432
-
44
0
436
A
r
u
le
lay
er
in
an
ANFI
S
m
o
d
el
s
h
o
wn
in
Fig
u
r
e
7
i
s
a
cr
u
cial
co
m
p
o
n
e
n
t
r
esp
o
n
s
ib
le
f
o
r
g
en
er
atin
g
f
u
zz
y
r
u
les
an
d
th
eir
co
r
r
esp
o
n
d
in
g
m
e
m
b
er
s
h
i
p
g
r
a
d
es.
I
t
ta
k
es
th
e
i
n
p
u
t
d
ata
an
d
p
r
o
ce
s
s
es
it
th
r
o
u
g
h
a
s
et
o
f
f
u
zz
y
if
-
th
e
n
r
u
les,
ea
ch
with
its
ass
o
ciate
d
m
em
b
er
s
h
i
p
f
u
n
ctio
n
s
,
an
d
p
r
o
v
id
es
a
n
o
u
t
p
u
t.
T
h
ese
r
u
les h
elp
in
ca
p
tu
r
in
g
t
h
e
u
n
d
er
ly
in
g
r
elatio
n
s
h
ip
s
o
f
th
e
in
p
u
t
v
ar
iab
les an
d
t
h
e
o
u
t
p
u
t.
A
"su
r
f
ac
e
v
iew"
in
th
e
co
n
tex
t
o
f
ANFI
S
ty
p
ically
r
ef
er
s
to
a
g
r
ap
h
ical
r
ep
r
ese
n
tatio
n
o
r
v
is
u
aliza
tio
n
o
f
t
h
e
ANFI
S
m
o
d
el'
s
o
u
tp
u
t
as
it
r
elate
s
to
t
wo
in
p
u
t
v
ar
iab
les.
A
s
u
r
f
ac
e
v
iew
is
cr
ea
ted
b
y
p
lo
ttin
g
th
e
m
o
d
el'
s
o
u
tp
u
t
as
a
th
r
ee
-
d
im
en
s
io
n
al
s
u
r
f
ac
e.
T
h
e
two
i
n
p
u
t
v
ar
iab
les
ar
e
t
y
p
ically
p
l
o
tted
o
n
th
e
x
an
d
y
ax
es,
a
n
d
t
h
e
AN
FIS
o
u
tp
u
t
(
o
r
th
e
m
o
d
el'
s
p
r
ed
ictio
n
s
)
is
r
ep
r
esen
ted
as
t
h
e
z
-
ax
is
o
r
th
e
h
eig
h
t
o
f
th
e
s
u
r
f
a
ce
as sh
o
wn
in
F
ig
u
r
e
8
.
Statis
t
ical
an
aly
s
is
co
n
d
u
cted
to
estab
lis
h
th
e
r
elatio
n
s
h
ip
b
etwe
en
win
d
s
p
ee
d
an
d
p
o
wer
o
u
tp
u
t
,
an
d
ca
lib
r
ate
a
p
r
ed
ictiv
e
m
o
d
el
in
MA
T
L
AB
f
o
r
r
ea
l
-
tim
e
p
o
wer
f
o
r
ec
asts
.
T
h
is
m
o
d
el
is
co
n
tin
u
o
u
s
ly
m
o
n
ito
r
ed
an
d
a
d
ju
s
ted
f
o
r
ac
cu
r
ac
y
,
aid
in
g
in
th
e
o
p
ti
m
izatio
n
o
f
th
e
o
p
er
atio
n
.
R
eg
u
lar
u
p
d
ates
a
n
d
m
ain
ten
an
ce
en
s
u
r
e
th
e
m
o
d
el
r
em
ain
s
ef
f
ec
tiv
e,
co
n
tr
ib
u
tin
g
to
ef
f
icien
t w
in
d
en
er
g
y
g
e
n
er
atio
n
an
d
r
eliab
le
elec
tr
icity
p
r
o
d
u
ctio
n
.
T
h
e
cu
r
r
en
t a
n
d
v
o
ltag
e
b
y
m
u
ltime
ter
an
d
air
s
p
ee
d
b
y
an
em
o
m
ete
r
is
n
o
ted
.
Fig
u
r
e
9
s
h
o
ws
th
e
ex
p
er
im
en
tal
s
et
u
p
f
o
r
tak
in
g
th
e
p
r
ac
tical
d
ata
f
o
r
an
aly
s
is
th
r
o
u
g
h
f
u
zz
y
lo
g
ic
m
o
d
el
c
r
ea
ted
i
n
MA
T
L
AB
.
T
r
ain
in
g
d
ata
a
n
d
test
in
g
s
ets
ar
e
s
p
lit
to
ass
ess
th
e
m
o
d
el'
s
ac
cu
r
ac
y
.
Fin
e
-
tu
n
e
th
e
m
o
d
el
p
a
r
am
eter
s
f
o
r
o
p
tim
al
p
er
f
o
r
m
a
n
ce
.
Fin
ally
,
wh
en
p
r
ed
ictin
g
win
d
p
o
wer
f
o
r
f
u
tu
r
e
p
e
r
io
d
s
,
o
b
tain
r
ea
l
-
tim
e
win
d
s
p
ee
d
d
ata
an
d
f
ee
d
it
in
to
th
e
tr
ain
e
d
m
o
d
el
to
esti
m
ate
th
e
p
o
wer
o
u
tp
u
t.
R
eg
u
lar
l
y
u
p
d
ate
an
d
r
etr
ain
th
e
m
o
d
el
t
o
ac
co
u
n
t f
o
r
ch
an
g
in
g
c
o
n
d
iti
o
n
s
an
d
im
p
r
o
v
e
p
r
e
d
ictio
n
ac
cu
r
ac
y
o
v
er
tim
e.
An
em
o
m
eter
h
as
b
ee
n
u
s
ed
to
o
b
s
er
v
e
th
e
win
d
s
p
ee
d
.
T
h
is
win
d
s
p
ee
d
h
as
b
ee
n
v
ar
ied
g
r
ad
u
ally
an
d
r
esp
ec
tiv
e
p
o
wer
g
en
er
ati
o
n
b
y
th
e
m
o
to
r
h
as
b
ee
n
r
ec
o
r
d
ed
.
I
n
th
is
way
,
a
d
ata
s
et
h
as
b
ee
n
o
b
tain
ed
f
r
o
m
th
e
p
r
ac
tical
s
et
u
p
.
T
h
is
d
ata
s
et
h
as
b
ee
n
in
co
r
p
o
r
ated
in
th
e
MA
T
L
AB
Simu
lin
k
m
o
d
el
to
p
r
e
d
ict
th
e
p
o
wer
f
o
r
v
ar
io
u
s
win
d
s
p
e
ed
.
Fu
zz
y
lo
g
ic
co
n
tr
o
ller
h
as
b
ee
n
u
tili
ze
d
in
th
e
d
ata
p
r
ed
ictio
n
s
tr
ateg
y
.
Fu
r
th
er
m
o
r
e
,
th
e
f
u
zz
y
r
u
les
h
av
e
b
ee
n
cr
ea
ted
b
y
ar
tif
icial
in
tellig
en
ce
n
etwo
r
k
p
r
o
f
ile.
Fin
ally
,
t
h
e
co
m
p
ar
is
o
n
o
f
p
r
ed
icted
a
n
d
t
est d
ata
h
as b
ee
n
p
r
esen
te
d
at
th
e
en
d
o
f
th
is
p
ap
e
r
.
Fig
u
r
e
7
.
Diag
r
a
m
o
f
av
er
a
g
e
m
ea
s
u
r
ed
p
o
wer
in
MA
T
L
AB
Fig
u
r
e
8
.
Av
e
r
ag
e
m
ea
s
u
r
ed
p
o
wer
(
s
u
r
f
ac
e
v
iew)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ap
p
l Po
wer
E
n
g
I
SS
N:
2252
-
8
7
9
2
P
r
ed
ictio
n
o
f wi
n
d
p
o
w
er w
ith
va
r
io
u
s
a
ir
s
p
ee
d
u
s
in
g
n
eu
r
o
-
fu
z
z
y
lo
g
ic
…
(
N
a
imu
r
R
a
h
m
a
n
Tu
s
h
a
r
)
437
Fig
u
r
e
9
.
Pra
ctica
l
s
etu
p
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
Firstl
y
,
th
e
p
o
wer
s
o
u
r
ce
is
co
n
n
ec
ted
with
th
e
m
o
t
o
r
.
T
h
en
it
is
co
n
n
ec
ted
with
th
e
lo
ad
an
d
an
am
m
eter
in
s
er
ies
an
d
a
v
o
lt
m
eter
in
p
ar
allel
with
th
e
m
o
to
r
an
d
l
o
ad
.
T
h
en
we
to
o
k
t
h
e
d
ata
b
y
p
lacin
g
v
ar
io
u
s
air
s
p
ee
d
s
.
As
th
e
wi
n
d
s
p
ee
d
c
h
an
g
es,
d
i
f
f
er
en
t
v
alu
es
ar
e
o
b
tain
ed
ea
ch
tim
e.
E
x
p
er
im
e
n
tal
d
ata
s
h
o
ws
th
e
v
alu
es
o
f
cu
r
r
en
t,
v
o
ltag
e
,
an
d
p
o
wer
o
f
v
a
r
io
u
s
win
d
o
r
air
s
p
ee
d
f
o
u
n
d
at
th
e
ex
p
er
im
en
t.
T
h
e
m
ax
im
u
m
p
o
wer
is
7
8
0
.
8
4
m
W
if
th
e
s
p
ee
d
is
8
.
7
m
/s
.
Her
e,
th
e
m
in
im
u
m
p
o
wer
we
g
o
t
4
.
5
m
W
wh
en
th
e
s
p
ee
d
is
2
.
3
m
/s
.
W
e
h
av
e
tak
en
a
to
tal
1
7
9
d
ata
o
u
t
o
f
2
0
0
s
am
p
le
d
ata
as
tr
ai
n
in
g
d
ata
i
n
ANFI
S.
Av
er
ag
e
tr
u
e
p
o
wer
is
ca
lcu
lated
u
s
in
g
n
eu
r
o
f
u
zz
y
lo
g
ic
s
y
s
tem
.
T
h
en
th
e
f
o
llo
win
g
f
o
r
m
u
la
h
as
b
ee
n
u
s
ed
to
f
in
d
th
e
er
r
o
r
o
f
test
in
g
a
n
d
s
o
m
e
t
r
ain
in
g
d
ata.
E
r
r
o
r
=
[
(
Av
er
a
g
e
T
r
u
e
Po
wer
-
Av
er
ag
e
Me
asu
r
e
d
Po
wer
)
/A
v
er
ag
e
T
r
u
e
Po
wer
]
*
1
0
0
%
T
ab
le
1
s
h
o
ws
th
e
p
er
ce
n
ta
g
e
er
r
o
r
o
f
all
t
h
e
test
in
g
d
ata
f
r
o
m
lo
west
to
h
ig
h
est.
E
r
r
o
r
is
m
in
im
u
m
0
.
0
9
%
f
o
r
air
s
p
ee
d
7
.
7
7
m
/s
an
d
m
a
x
im
u
m
6
.
5
0
%
wh
en
s
p
ee
d
is
3
.
1
5
m
/s
.
W
e
ca
lcu
late
er
r
o
r
c
o
m
p
a
r
in
g
two
o
u
tp
u
t
p
o
wer
b
y
ANFI
S
in
MA
T
L
AB
n
eu
r
o
-
f
u
zz
y
lo
g
i
c
s
y
s
tem
.
T
h
ese
d
ata
ar
e
u
s
ed
as
test
in
g
d
ata
(
2
1
)
to
th
e
r
est
(
1
7
9
)
tr
ain
in
g
d
ata
.
T
h
e
p
r
ac
tical
d
ata
a
n
d
ANF
I
S
Simu
lin
k
ar
e
alm
o
s
t
s
am
e
an
d
p
e
r
ce
n
tag
e
o
f
er
r
o
r
is
n
eg
lig
ib
le
as
s
h
o
wn
in
Fig
u
r
e
1
0
.
T
h
is
f
ig
u
r
e
s
h
o
ws
th
at
th
e
p
r
ed
ictio
n
p
er
f
o
r
m
an
ce
h
as
b
ee
n
s
u
cc
ess
f
u
lly
ca
r
r
ied
o
u
t
b
y
th
e
ANFI
S p
r
ed
ictin
g
m
o
d
el.
T
ab
le
1
.
T
esti
n
g
d
ata
with
p
er
ce
n
tag
e
er
r
o
r
(
%)
S
L
N
o
I
n
p
u
t
(
a
i
r
s
p
e
e
d
)
i
n
(
m
/
s)
O
u
t
p
u
t
(
t
r
u
e
p
o
w
e
r
)
p
r
a
c
t
i
c
a
l
i
n
m
W
O
u
t
p
u
t
(
me
a
s
u
r
e
d
p
o
w
e
r
i
n
mW
)
b
y
A
N
F
I
S
S
i
mu
l
i
n
k
P
e
r
c
e
n
t
a
g
e
e
r
r
o
r
(
%)
b
y
c
a
l
c
u
l
a
t
i
n
g
o
u
t
p
u
t
1
3
.
1
5
1
6
.
1
5
1
7
.
2
6
.
5
0
2
3
.
1
8
1
7
.
4
1
8
.
5
6
.
3
2
3
3
.
1
9
1
8
.
9
20
5
.
8
2
4
3
.
1
9
1
9
.
3
2
20
3
.
5
1
5
3
.
2
2
2
0
.
4
6
2
1
.
4
4
.
6
4
6
3
.
8
5
6
0
.
4
6
0
.
2
0
.
3
3
7
3
.
8
7
6
2
.
7
3
6
1
.
6
1
.
8
0
8
3
.
9
1
6
3
.
1
4
6
4
.
5
2
.
1
5
9
3
.
9
3
6
5
.
5
2
66
0
.
7
3
10
5
.
0
2
1
8
0
1
7
4
3
.
3
3
11
5
.
0
4
1
8
3
.
9
6
1
7
7
3
.
7
8
12
5
.
0
6
1
8
6
.
9
4
4
1
8
0
3
.
7
1
13
5
.
0
8
1
9
0
.
1
8
1
8
3
3
.
7
7
14
5
.
1
1
1
9
3
.
2
1
4
1
8
7
3
.
2
1
15
7
.
6
6
5
1
5
5
0
5
1
.
9
4
16
7
.
6
9
5
2
0
.
3
8
5
1
0
1
.
9
9
17
7
.
7
7
5
2
4
.
5
1
5
2
4
0
.
0
9
18
7
.
8
5
3
1
.
2
5
2
9
0
.
4
1
19
7
.
8
5
5
3
5
.
0
4
5
3
9
0
.
7
4
20
7
.
8
8
5
4
1
.
8
5
4
5
0
.
5
9
21
7
.
9
5
4
5
.
6
7
5
4
8
0
.
4
3
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
9
2
I
n
t J Ap
p
l Po
wer
E
n
g
,
Vo
l.
1
4
,
No
.
2
,
J
u
n
e
20
2
5
:
432
-
44
0
438
Fig
u
r
e
1
0
.
T
esti
n
g
d
ata
g
r
ap
h
4.
CO
NCLU
SI
O
N
T
h
e
r
esear
ch
en
tails
th
e
d
ev
el
o
p
m
en
t
o
f
a
MA
T
L
AB
-
b
ased
ad
ap
tiv
e
n
eu
r
o
-
f
u
zz
y
in
f
er
e
n
ce
s
y
s
tem
(
ANFI
S)
m
o
d
el
f
o
r
p
r
e
d
ictin
g
win
d
p
o
wer
o
u
t
p
u
t
u
n
d
er
v
ar
y
in
g
air
s
p
ee
d
s
.
T
h
is
p
r
o
c
ess
in
v
o
lv
es
two
m
ain
p
h
ases
:
tr
ain
in
g
an
d
test
in
g
.
Du
r
in
g
th
e
tr
ai
n
in
g
p
h
ase,
p
r
ac
tical
d
ata
is
u
tili
ze
d
to
est
ab
lis
h
th
e
in
tr
icate
r
elatio
n
s
h
ip
b
etwe
en
air
s
p
ee
d
s
an
d
win
d
p
o
wer
g
e
n
er
atio
n
.
T
h
e
ANFI
S
m
o
d
el
is
tr
ain
ed
an
d
test
ed
u
s
in
g
d
ata
f
r
o
m
th
e
p
r
o
v
id
ed
tab
le
to
ev
alu
ate
its
p
er
f
o
r
m
an
ce
.
T
h
e
an
al
y
s
is
r
ev
ea
ls
a
p
er
ce
n
tag
e
er
r
o
r
r
an
g
in
g
f
r
o
m
0
.
0
9
%
to
6
.
5
%
d
u
r
in
g
test
in
g
,
in
d
icatin
g
a
r
ea
s
o
n
a
b
ly
ac
c
u
r
ate
p
r
ed
ictio
n
ca
p
a
b
ilit
y
.
No
tab
ly
,
th
e
test
in
g
p
h
ase
d
e
m
o
n
s
tr
ates
an
in
v
e
r
s
e
r
elatio
n
s
h
ip
b
etw
ee
n
air
s
p
ee
d
a
n
d
p
r
ed
ictio
n
er
r
o
r
,
with
er
r
o
r
d
ec
r
ea
s
in
g
as
air
s
p
ee
d
in
cr
ea
s
es.
T
h
e
clo
s
e
al
ig
n
m
en
t
b
etwe
en
th
e
m
ea
s
u
r
ed
p
o
wer
b
y
MA
T
L
AB
an
d
p
r
ac
tical
v
alu
es
d
u
r
in
g
th
e
tr
ain
in
g
p
h
ase
allo
ws
th
e
m
o
d
el
to
ad
ap
t
its
p
ar
am
eter
s
ef
f
ec
tiv
ely
,
en
h
a
n
cin
g
p
r
ed
ictio
n
ac
cu
r
ac
y
.
T
h
e
test
in
g
p
h
ase
s
er
v
es
to
ass
es
s
th
e
m
o
d
el'
s
g
en
er
aliza
tio
n
ab
ilit
y
b
y
ev
alu
atin
g
its
p
er
f
o
r
m
an
ce
o
n
u
n
s
ee
n
s
ce
n
a
r
io
s
.
E
x
p
er
i
m
en
tal
r
esu
lts
in
d
icate
th
e
g
en
er
atio
n
o
f
ap
p
r
o
x
im
ately
1
w
att
DC
o
u
tp
u
t,
with
th
e
ANFI
S
m
o
d
el
s
u
cc
ess
f
u
lly
p
r
ed
ictin
g
win
d
p
o
wer
f
o
r
v
ar
i
o
u
s
air
s
p
ee
d
s
.
Fo
r
in
s
tan
ce
,
th
e
m
ax
im
u
m
p
o
wer
o
u
tp
u
t
o
f
7
8
0
.
8
4
m
W
is
o
b
s
er
v
ed
at
an
air
s
p
ee
d
o
f
8
.
7
m
/s
,
wh
ile
t
h
e
m
in
im
u
m
p
o
wer
o
u
tp
u
t
o
f
4
.
5
m
W
o
cc
u
r
s
at
an
air
s
p
ee
d
o
f
2
.
3
m
/s
.
T
h
ese
f
in
d
in
g
s
h
ig
h
lig
h
t
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
ANFI
S
m
o
d
el
in
ac
c
u
r
ately
p
r
ed
ictin
g
win
d
p
o
wer
o
u
tp
u
t a
cr
o
s
s
d
if
f
er
en
t e
n
v
ir
o
n
m
e
n
tal
co
n
d
itio
n
s
.
ACK
NO
WL
E
DG
E
M
E
NT
S
W
e
ar
e
th
an
k
f
u
l
t
o
th
e
D
ep
a
r
tm
en
t
o
f
E
lectr
ical
a
n
d
E
lectr
o
n
ic
E
n
g
in
ee
r
in
g
f
o
r
s
u
p
p
o
r
tin
g
u
s
to
d
o
o
u
r
r
esear
c
h
p
r
o
ject.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
W
e
d
o
n
’
t h
av
e
an
y
f
u
n
d
f
o
r
th
is
r
esear
ch
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
t
r
ib
u
to
r
R
o
les
T
a
x
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
i
d
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Naim
u
r
R
ah
m
an
T
u
s
h
a
r
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
M
d
.
T
an
v
ir
Ah
m
ed
Sh
u
v
o
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Dilip
Ku
m
ar
Das
✓
✓
✓
✓
✓
Su
m
an
C
h
o
wd
h
u
r
y
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
s
i
s
I
:
I
n
v
e
s
t
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
s
i
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ap
p
l Po
wer
E
n
g
I
SS
N:
2252
-
8
7
9
2
P
r
ed
ictio
n
o
f wi
n
d
p
o
w
er w
ith
va
r
io
u
s
a
ir
s
p
ee
d
u
s
in
g
n
eu
r
o
-
fu
z
z
y
lo
g
ic
…
(
N
a
imu
r
R
a
h
m
a
n
Tu
s
h
a
r
)
439
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
W
e
au
th
o
r
s
ar
e
d
ec
lar
in
g
th
at
th
er
e
is
n
o
co
n
f
lict o
f
i
n
ter
est.
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
d
ata
th
at
s
u
p
p
o
r
t
th
e
f
i
n
d
in
g
s
o
f
th
is
s
tu
d
y
ar
e
av
aila
b
le
o
n
r
eq
u
est
f
r
o
m
th
e
co
r
r
esp
o
n
d
in
g
au
th
o
r
,
[
SC
]
.
T
h
e
d
ata,
wh
ich
co
n
tain
in
f
o
r
m
atio
n
t
h
a
t
co
u
ld
c
o
m
p
r
o
m
is
e
th
e
p
r
iv
ac
y
o
f
r
esear
ch
p
ar
ticip
an
ts
,
ar
e
n
o
t p
u
b
licly
a
v
ailab
le
d
u
e
to
ce
r
tain
r
estrictio
n
s
.
RE
F
E
R
E
NC
E
S
[
1
]
M
.
I
.
M
i
s
k
a
t
e
t
a
l
.
,
“
A
n
o
v
e
r
v
i
e
w
o
f
t
h
e
h
y
d
r
o
p
o
w
e
r
p
r
o
d
u
c
t
i
o
n
p
o
t
e
n
t
i
a
l
i
n
B
a
n
g
l
a
d
e
sh
t
o
me
e
t
t
h
e
e
n
e
r
g
y
r
e
q
u
i
r
e
m
e
n
t
s,
”
En
v
i
r
o
n
m
e
n
t
a
l
E
n
g
i
n
e
e
ri
n
g
R
e
se
a
rc
h
,
v
o
l
.
2
6
,
n
o
.
6
,
p
p
.
1
–
1
3
,
N
o
v
.
2
0
2
1
,
d
o
i
:
1
0
.
4
4
9
1
/
e
e
r
.
2
0
2
0
.
5
1
4
.
[
2
]
A
.
M
.
I
.
M
u
k
u
t
,
M
.
Q
.
I
sl
a
m,
a
n
d
M
.
M
.
A
l
a
m,
“
A
n
a
l
y
si
s
o
f
w
i
n
d
c
h
a
r
a
c
t
e
r
i
st
i
c
s
i
n
c
o
a
s
t
a
l
a
r
e
a
s
o
f
B
a
n
g
l
a
d
e
sh
,
”
J
o
u
r
n
a
l
o
f
Me
c
h
a
n
i
c
a
l
En
g
i
n
e
e
ri
n
g
,
v
o
l
.
3
9
,
n
o
.
1
,
p
p
.
4
5
–
4
9
,
Ja
n
.
2
0
0
8
,
[
O
n
l
i
n
e
]
.
A
v
a
i
l
a
b
l
e
:
h
t
t
p
s
:
/
/
w
w
w
.
b
a
n
g
l
a
j
o
l
.
i
n
f
o
/
i
n
d
e
x
.
p
h
p
/
JM
E
/
a
r
t
i
c
l
e
/
v
i
e
w
/
1
8
3
3
.
[
3
]
M
.
T
.
B
a
b
u
,
H
.
N
e
i
,
a
n
d
M
.
A
.
K
o
w
s
e
r
,
“
P
r
o
s
p
e
c
t
s
a
n
d
n
e
c
e
s
s
i
t
y
o
f
w
i
n
d
e
n
e
r
g
y
i
n
B
a
n
g
l
a
d
e
s
h
f
o
r
t
h
e
f
o
r
t
h
c
o
m
i
n
g
f
u
t
u
r
e
,”
J
o
u
r
n
a
l
o
f
T
h
e
I
n
s
t
i
t
u
t
i
o
n
o
f
E
n
g
i
n
e
e
r
s
(
I
n
d
i
a
)
:
S
e
r
i
e
s
C
,
v
o
l
.
1
0
3
,
n
o
.
4
,
p
p
.
9
1
3
–
9
2
9
,
A
u
g
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
0
7
/
s
4
0
0
3
2
-
0
2
2
-
0
0
8
3
4
-
8.
[
4
]
N
.
A
.
M
a
d
l
o
o
l
e
t
a
l
.
,
“
I
n
v
e
st
i
g
a
t
i
o
n
o
n
w
i
n
d
e
n
e
r
g
y
f
o
r
g
r
i
d
c
o
n
n
e
c
t
i
o
n
i
n
B
a
n
g
l
a
d
e
s
h
:
c
a
s
e
st
u
d
y
,
”
I
O
P
C
o
n
f
e
re
n
c
e
S
e
ri
e
s:
Ma
t
e
r
i
a
l
s
S
c
i
e
n
c
e
a
n
d
E
n
g
i
n
e
e
ri
n
g
,
v
o
l
.
1
1
2
7
,
n
o
.
1
,
p
.
0
1
2
0
2
1
,
M
a
r
.
2
0
2
1
,
d
o
i
:
1
0
.
1
0
8
8
/
1
7
5
7
-
8
9
9
X
/
1
1
2
7
/
1
/
0
1
2
0
2
1
.
[
5
]
T.
L
i
u
,
Z.
H
u
a
n
g
,
L.
Ti
a
n
,
Y
.
Z
h
u
,
H
.
W
a
n
g
,
a
n
d
S
.
F
e
n
g
,
“
E
n
h
a
n
c
i
n
g
w
i
n
d
t
u
r
b
i
n
e
p
o
w
e
r
f
o
r
e
c
a
s
t
v
i
a
c
o
n
v
o
l
u
t
i
o
n
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
,
”
El
e
c
t
ro
n
i
c
s
,
v
o
l
.
1
0
,
n
o
.
3
,
p
.
2
6
1
,
Ja
n
.
2
0
2
1
,
d
o
i
:
1
0
.
3
3
9
0
/
e
l
e
c
t
r
o
n
i
c
s
1
0
0
3
0
2
6
1
.
[
6
]
I
.
A
k
h
t
a
r
,
S
.
K
i
r
ma
n
i
,
M
.
A
h
ma
d
,
a
n
d
S
.
A
h
ma
d
,
“
A
v
e
r
a
g
e
mo
n
t
h
l
y
w
i
n
d
p
o
w
e
r
f
o
r
e
c
a
st
i
n
g
u
si
n
g
f
u
z
z
y
a
p
p
r
o
a
c
h
,
”
I
EEE
Ac
c
e
ss
,
v
o
l
.
9
,
p
p
.
3
0
4
2
6
–
3
0
4
4
0
,
2
0
2
1
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
1
.
3
0
5
6
5
6
2
.
[
7
]
S
.
C
h
o
w
d
h
u
r
y
,
A
.
K
.
S
a
h
a
,
a
n
d
D
.
K
.
D
a
s,
“
W
i
n
d
e
n
e
r
g
y
p
r
e
d
i
c
t
i
o
n
o
n
f
u
t
u
r
e
a
sp
e
c
t
u
s
i
n
g
X
G
B
o
o
st
t
i
m
e
seri
e
s
mo
d
e
l
,
”
2
0
2
4
8
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
El
e
c
t
ro
n
i
c
s
,
C
o
m
m
u
n
i
c
a
t
i
o
n
a
n
d
A
e
ro
s
p
a
c
e
T
e
c
h
n
o
l
o
g
y
(
I
C
EC
A)
,
2
0
2
4
,
p
p
.
7
–
1
0
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
EC
A
6
3
4
6
1
.
2
0
2
4
.
1
0
8
0
1
0
6
5
.
[
8
]
A
.
N
.
M
.
N
o
ma
n
,
“
W
i
n
d
e
n
e
r
g
y
p
r
o
sp
e
c
t
s
a
n
d
t
h
e
f
u
t
u
r
e
o
f
B
a
n
g
l
a
d
e
s
h
p
o
w
e
r
se
c
t
o
r
,
”
i
n
2
0
2
3
8
t
h
I
n
t
e
r
n
a
t
i
o
n
a
l
E
n
g
i
n
e
e
r
i
n
g
C
o
n
f
e
re
n
c
e
o
n
Re
n
e
w
a
b
l
e
En
e
r
g
y
&
S
u
s
t
a
i
n
a
b
i
l
i
t
y
(
i
e
C
RE
S
)
,
M
a
y
2
0
2
3
,
p
p
.
1
–
4
,
d
o
i
:
1
0
.
1
1
0
9
/
i
e
C
R
ES5
7
3
1
5
.
2
0
2
3
.
1
0
2
0
9
5
3
2
.
[
9
]
A
.
N
a
t
h
,
S
.
B
a
r
u
a
,
a
n
d
N
.
M
o
h
a
m
m
a
d
,
“
E
l
e
c
t
r
i
c
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
-
m
i
x
f
o
r
B
a
n
g
l
a
d
e
s
h
a
n
d
i
t
s
f
u
t
u
r
e
,
”
i
n
2
0
1
9
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
E
l
e
c
t
r
i
c
a
l
,
C
o
m
p
u
t
e
r
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
E
n
g
i
n
e
e
r
i
n
g
(
E
C
C
E
)
,
2
0
1
9
,
p
p
.
1
–
4
,
d
o
i
:
1
0
.
1
1
0
9
/
E
C
A
C
E
.
2
0
1
9
.
8
6
7
9
2
4
5
.
[
1
0
]
J.
-
Y
.
R
y
u
e
t
a
l
.
,
“
Ev
a
l
u
a
t
i
o
n
o
f
w
e
a
t
h
e
r
i
n
f
o
r
m
a
t
i
o
n
f
o
r
sh
o
r
t
-
t
e
r
m
w
i
n
d
p
o
w
e
r
f
o
r
e
c
a
st
i
n
g
w
i
t
h
v
a
r
i
o
u
s
t
y
p
e
s
o
f
mo
d
e
l
s
,”
En
e
r
g
i
e
s
,
v
o
l
.
1
5
,
n
o
.
2
4
,
p
.
9
4
0
3
,
D
e
c
.
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
e
n
1
5
2
4
9
4
0
3
.
[
1
1
]
M
.
H
a
sa
n
e
t
a
l
.
,
“
A
c
r
i
t
i
c
a
l
a
n
a
l
y
si
s o
f
w
i
n
d
e
n
e
r
g
y
g
e
n
e
r
a
t
i
o
n
p
o
t
e
n
t
i
a
l
i
n
d
i
f
f
e
r
e
n
t
r
e
g
i
o
n
s
o
f
B
a
n
g
l
a
d
e
sh
,”
En
e
rg
y
Re
p
o
r
t
s
,
v
o
l
.
1
1
,
p
p
.
2
1
5
2
–
2
1
7
3
,
Ju
n
.
2
0
2
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
g
y
r
.
2
0
2
4
.
0
1
.
0
6
1
.
[
1
2
]
R
.
A
b
d
u
l
l
a
h
a
n
d
M
.
I
sl
a
m,
“
P
r
o
s
p
e
c
t
s
o
f
w
i
n
d
e
n
e
r
g
y
i
n
t
h
e
c
o
a
st
a
l
r
e
g
i
o
n
o
f
B
a
n
g
l
a
d
e
s
h
,
”
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
En
g
i
n
e
e
r
i
n
g
Re
se
a
rc
h
&
T
e
c
h
n
o
l
o
g
y
(
I
J
E
RT)
,
v
o
l
.
2
,
n
o
.
1
1
,
p
p
.
3
0
1
8
–
3
0
2
2
,
2
0
1
3
.
[
1
3
]
M
.
M
o
h
a
n
d
e
s
,
S
.
R
e
h
ma
n
,
a
n
d
S
.
M
.
R
a
h
ma
n
,
“
Est
i
ma
t
i
o
n
o
f
w
i
n
d
s
p
e
e
d
p
r
o
f
i
l
e
u
s
i
n
g
a
d
a
p
t
i
v
e
n
e
u
r
o
-
f
u
z
z
y
i
n
f
e
r
e
n
c
e
s
y
st
e
m
(
A
N
F
I
S
)
,
”
Ap
p
l
i
e
d
E
n
e
r
g
y
,
v
o
l
.
8
8
,
n
o
.
1
1
,
p
p
.
4
0
2
4
–
4
0
3
2
,
N
o
v
.
2
0
1
1
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
a
p
e
n
e
r
g
y
.
2
0
1
1
.
0
4
.
0
1
5
.
[
1
4
]
M
.
A
.
S
h
a
i
k
h
,
K
.
M
.
A
.
C
h
o
w
d
h
u
r
y
,
S
.
S
e
n
,
a
n
d
M
.
M
.
I
sl
a
m,
“
P
o
t
e
n
t
i
a
l
i
t
y
o
f
w
i
n
d
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
a
l
o
n
g
t
h
e
B
a
n
g
l
a
d
e
sh
c
o
a
st
,
”
i
n
AI
P
C
o
n
f
e
re
n
c
e
Pro
c
e
e
d
i
n
g
s
,
2
0
1
7
,
p
.
0
2
0
0
3
5
.
d
o
i
:
1
0
.
1
0
6
3
/
1
.
5
0
1
8
5
5
3
.
[
1
5
]
M
.
S
.
I
sl
a
m
,
A
.
I
sl
a
m
,
a
n
d
M
.
Z.
I
sl
a
m,
“
W
i
n
d
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
s
c
a
l
e
ma
p
p
i
n
g
o
f
B
a
n
g
l
a
d
e
s
h
a
t
d
i
f
f
e
r
e
n
t
t
u
r
b
i
n
e
h
e
i
g
h
t
s,
”
2
0
1
4
3
rd
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
t
h
e
D
e
v
e
l
o
p
m
e
n
t
s
i
n
Re
n
e
w
a
b
l
e
E
n
e
r
g
y
T
e
c
h
n
o
l
o
g
y
(
I
C
D
RET)
,
2
0
1
4
,
p
p
.
1
–
6
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
D
R
ET.
2
0
1
4
.
6
8
6
1
7
3
5
.
[
1
6
]
A
.
E.
S
a
l
e
h
,
M
.
S
.
M
o
u
s
t
a
f
a
,
K
.
M
.
A
b
o
-
Al
-
E
z
,
a
n
d
A
.
A
.
A
b
d
u
l
l
a
h
,
“
A
h
y
b
r
i
d
n
e
u
r
o
-
f
u
z
z
y
p
o
w
e
r
p
r
e
d
i
c
t
i
o
n
sy
st
e
m
f
o
r
w
i
n
d
e
n
e
r
g
y
g
e
n
e
r
a
t
i
o
n
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
P
o
w
e
r
&
E
n
e
rg
y
S
y
s
t
e
m
s
,
v
o
l
.
7
4
,
p
p
.
3
8
4
–
3
9
5
,
Jan
.
2
0
1
6
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
i
j
e
p
e
s.
2
0
1
5
.
0
7
.
0
3
9
.
[
1
7
]
Y
.
S
h
a
o
,
J.
Li
u
,
J.
H
u
a
n
g
,
L.
H
u
,
L
.
G
u
o
,
a
n
d
Y
.
F
a
n
g
,
“
T
h
e
i
mp
l
e
m
e
n
t
a
t
i
o
n
o
f
f
u
z
z
y
PSO
-
P
I
D
a
d
a
p
t
i
v
e
c
o
n
t
r
o
l
l
e
r
i
n
p
i
t
c
h
r
e
g
u
l
a
t
i
o
n
f
o
r
w
i
n
d
t
u
r
b
i
n
e
s
s
u
p
p
r
e
ss
i
n
g
m
u
l
t
i
-
f
a
c
t
o
r
d
i
st
u
r
b
a
n
c
e
s
,”
F
ro
n
t
i
e
rs
i
n
E
n
e
r
g
y
Re
s
e
a
r
c
h
,
v
o
l
.
9
,
p
.
8
2
8
2
8
1
,
M
a
r
.
2
0
2
2
,
d
o
i
:
1
0
.
3
3
8
9
/
f
e
n
r
g
.
2
0
2
1
.
8
2
8
2
8
1
.
[
1
8
]
J.
Jam
i
i
,
M
.
M
a
n
s
o
u
r
i
,
a
n
d
M
.
F
.
M
i
mo
u
n
i
,
“
S
h
o
r
t
t
i
m
e
f
o
r
e
c
a
s
t
i
n
g
f
o
r
w
i
n
d
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
u
s
i
n
g
a
r
t
i
f
i
c
i
a
l
n
e
u
r
a
l
n
e
t
w
o
r
k
,
”
i
n
2
0
2
2
1
9
t
h
I
n
t
e
rn
a
t
i
o
n
a
l
M
u
l
t
i
-
C
o
n
f
e
re
n
c
e
o
n
S
y
s
t
e
m
s,
S
i
g
n
a
l
s
&
D
e
v
i
c
e
s
(
S
S
D
)
,
M
a
y
2
0
2
2
,
p
p
.
3
2
1
–
3
2
5
,
d
o
i
:
1
0
.
1
1
0
9
/
S
S
D
5
4
9
3
2
.
2
0
2
2
.
9
9
5
5
8
5
6
.
[
1
9
]
O
.
L
o
d
i
n
,
N
.
K
h
a
j
u
r
i
a
,
S
.
V
i
s
h
w
a
k
a
r
ma,
a
n
d
G
.
M
a
n
z
o
o
r
,
“
M
o
d
e
l
i
n
g
a
n
d
s
i
m
u
l
a
t
i
o
n
o
f
w
i
n
d
so
l
a
r
h
y
b
r
i
d
sy
st
e
m
u
s
i
n
g
M
A
TLA
B
/
S
i
mu
l
i
n
k
,
”
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
I
n
n
o
v
a
t
i
v
e
T
e
c
h
n
o
l
o
g
y
a
n
d
Ex
p
l
o
ri
n
g
En
g
i
n
e
e
r
i
n
g
(
I
J
I
T
EE)
,
v
o
l
.
8
,
n
o
.
9
S
,
p
p
.
2
1
8
–
2
2
4
,
2
0
1
9
.
[
2
0
]
D
.
R
e
k
i
o
u
a
,
S
.
B
e
n
s
mai
l
,
C
.
S
e
r
i
r
,
a
n
d
T
.
R
e
k
i
o
u
a
,
“
P
o
w
e
r
s
u
p
e
r
v
i
si
o
n
o
f
a
n
a
u
t
o
n
o
m
o
u
s
p
h
o
t
o
v
o
l
t
a
i
c
/
w
i
n
d
t
u
r
b
i
n
e
/
b
a
t
t
e
r
y
sy
st
e
m
w
i
t
h
M
P
P
T
u
s
i
n
g
a
d
a
p
t
a
t
i
v
e
f
u
z
z
y
l
o
g
i
c
c
o
n
t
r
o
l
l
e
r
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Ap
p
l
i
e
d
P
o
w
e
r
En
g
i
n
e
e
ri
n
g
,
v
o
l
.
1
2
,
n
o
.
1
,
p
p
.
9
0
–
1
0
1
,
M
a
r
.
2
0
2
3
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
a
p
e
.
v
1
2
.
i
1
.
p
p
9
0
-
1
0
1
.
[
2
1
]
M
.
S
.
I
sl
a
m,
S
.
R
a
h
ma
n
,
a
n
d
S
.
C
h
o
w
d
h
u
r
y
,
“
I
n
v
e
st
i
g
a
t
i
o
n
o
f
h
y
b
r
i
d
p
o
w
e
r
p
e
r
f
o
r
ma
n
c
e
w
i
t
h
so
l
a
r
m
o
d
u
l
e
&
w
i
n
d
t
u
r
b
i
n
e
i
n
M
A
TLA
B
,
”
i
n
2
0
2
3
I
n
t
e
rn
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
C
o
m
p
u
t
e
r,
E
l
e
c
t
ri
c
a
l
&
C
o
m
m
u
n
i
c
a
t
i
o
n
E
n
g
i
n
e
e
r
i
n
g
(
I
C
C
E
C
E)
,
J
a
n
.
2
0
2
3
,
p
p
.
1
–
4
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
C
E
C
E
5
1
0
4
9
.
2
0
2
3
.
1
0
0
8
5
4
5
5
.
[
2
2
]
F
.
B
l
a
a
b
j
e
r
g
a
n
d
K
.
M
a
,
“
W
i
n
d
e
n
e
r
g
y
s
y
st
e
ms
,
”
Pr
o
c
e
e
d
i
n
g
s
o
f
t
h
e
I
EE
E
,
v
o
l
.
1
0
5
,
n
o
.
1
1
,
p
p
.
2
1
1
6
–
2
1
3
1
,
N
o
v
.
2
0
1
7
,
d
o
i
:
1
0
.
1
1
0
9
/
JP
R
O
C
.
2
0
1
7
.
2
6
9
5
4
8
5
.
[
2
3
]
F
.
H
.
K
h
a
n
,
T.
P
a
l
,
B
.
K
u
n
d
u
,
a
n
d
R
.
R
o
y
,
“
W
i
n
d
e
n
e
r
g
y
:
a
p
r
a
c
t
i
c
a
l
p
o
w
e
r
a
n
a
l
y
s
i
s
a
p
p
r
o
a
c
h
,
”
i
n
2
0
2
1
I
n
n
o
v
a
t
i
o
n
s
i
n
E
n
e
r
g
y
Ma
n
a
g
e
m
e
n
t
a
n
d
Re
n
e
w
a
b
l
e
Re
s
o
u
rc
e
s
(
5
2
0
4
2
)
,
F
e
b
.
2
0
2
1
,
p
p
.
1
–
6
,
d
o
i
:
1
0
.
1
1
0
9
/
I
EM
R
E5
2
0
4
2
.
2
0
2
1
.
9
3
8
6
7
5
4
.
[
2
4
]
S
.
D
a
s,
D
.
M
a
z
u
m
d
e
r
,
N
.
M
i
a
,
a
n
d
S
.
R
a
h
m
a
n
,
“
A
r
e
v
i
e
w
o
n
p
o
w
e
r
g
e
n
e
r
a
t
i
o
n
f
r
o
m
w
i
n
d
p
o
w
e
r
c
r
e
a
t
e
d
b
y
f
a
st
m
o
v
i
n
g
t
r
a
i
n
p
e
r
s
p
e
c
t
i
v
e
B
a
n
g
l
a
d
e
sh
,
”
i
n
2
0
2
0
I
E
EE
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
T
e
c
h
n
o
l
o
g
y
,
E
n
g
i
n
e
e
ri
n
g
,
M
a
n
a
g
e
m
e
n
t
f
o
r
S
o
c
i
e
t
a
l
i
m
p
a
c
t
u
si
n
g
M
a
rk
e
t
i
n
g
,
E
n
t
r
e
p
r
e
n
e
u
rsh
i
p
a
n
d
T
a
l
e
n
t
(
T
EM
S
ME
T
)
,
D
e
c
.
2
0
2
0
,
p
p
.
1
–
5
,
d
o
i
:
1
0
.
1
1
0
9
/
TE
M
S
M
ET
5
1
6
1
8
.
2
0
2
0
.
9
5
5
7
4
4
8
.
[
2
5
]
M
.
H
a
s
a
n
,
P
.
D
e
y
,
I
.
J.
K
h
a
n
,
a
n
d
N
.
-
U.
-
R
.
C
h
o
w
d
h
u
r
y
,
“
A
ssess
me
n
t
o
f
p
r
o
mi
s
i
n
g
w
i
n
d
e
n
e
r
g
y
p
r
o
d
u
c
t
i
o
n
s
i
t
e
s
i
n
B
a
n
g
l
a
d
e
s
h
u
si
n
g
e
n
e
r
g
y
p
a
t
t
e
r
n
f
a
c
t
o
r
m
e
t
h
o
d
,
”
i
n
2
0
2
2
I
n
t
e
rn
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
En
e
r
g
y
a
n
d
P
o
w
e
r
E
n
g
i
n
e
e
ri
n
g
(
I
C
E
PE)
,
N
o
v
.
2
0
2
2
,
p
p
.
1
–
4
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
EPE
5
6
6
2
9
.
2
0
2
2
.
1
0
0
4
4
8
9
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
9
2
I
n
t J Ap
p
l Po
wer
E
n
g
,
Vo
l.
1
4
,
No
.
2
,
J
u
n
e
20
2
5
:
432
-
44
0
440
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Na
im
u
r
Ra
h
m
a
n
Tu
sha
r
h
a
s
d
o
n
e
h
is
B.
S
c
.
i
n
El
e
c
tri
c
a
l
a
nd
El
e
c
tro
n
ic
En
g
i
n
e
e
rin
g
fr
o
m
I
n
tern
a
ti
o
n
a
l
Un
iv
e
rsit
y
o
f
B
u
sin
e
ss
A
g
ricu
lt
u
re
a
n
d
Tec
h
n
o
l
o
g
y
(
IUBA
T)
,
Uttara
,
Dh
a
k
a
,
Ba
n
g
lad
e
sh
(ww
w.i
u
b
a
t.
e
d
u
).
He
h
a
s
su
c
c
e
ss
fu
ll
y
c
o
m
p
lete
d
h
is
B
.
S
c
.
t
h
e
sis
u
n
d
e
r
t
h
e
su
p
e
rv
isi
o
n
o
f
M
r.
S
u
m
a
n
Ch
o
wd
h
u
ry
-
a
ss
istan
t
p
r
o
fe
ss
o
r.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
n
a
imu
r2
1
tu
sa
r@g
m
a
il
.
c
o
m
.
Md
.
Ta
n
v
ir
Ah
m
e
d
S
h
u
v
o
h
a
s
d
o
n
e
h
is
B.
S
c
.
in
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ic
En
g
i
n
e
e
rin
g
fr
o
m
I
n
tern
a
ti
o
n
a
l
Un
iv
e
rsit
y
o
f
B
u
sin
e
ss
A
g
ricu
lt
u
re
a
n
d
Tec
h
n
o
l
o
g
y
(
IUBA
T)
,
Uttara
,
Dh
a
k
a
,
Ba
n
g
lad
e
sh
(ww
w.i
u
b
a
t.
e
d
u
).
He
h
a
s
su
c
c
e
ss
fu
ll
y
c
o
m
p
lete
d
h
is
B
.
S
c
.
t
h
e
sis
u
n
d
e
r
t
h
e
su
p
e
rv
isi
o
n
o
f
M
r.
S
u
m
a
n
Ch
o
wd
h
u
ry
-
a
ss
istan
t
p
r
o
fe
ss
o
r.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
tsh
u
v
o
0
@
g
m
a
il
.
c
o
m
.
Dili
p
K
u
m
a
r
Da
s
h
a
s
j
o
in
e
d
i
n
IUBA
T
-
In
ter
n
a
ti
o
n
a
l
Un
iv
e
rsit
y
o
f
Bu
si
n
e
ss
a
n
d
Ag
ricu
lt
u
re
in
S
e
p
tem
b
e
r
2
0
0
7
a
s
a
fa
c
u
lt
y
m
e
m
b
e
r
in
th
e
M
a
th
e
m
a
ti
c
s
De
p
a
rtm
e
n
t.
Be
fo
re
th
a
t
,
h
e
wa
s
se
rv
in
g
in
Th
e
U
n
iv
e
rsity
o
f
Cu
m
il
la
a
s
a
lec
tu
re
r.
He
o
b
tai
n
e
d
h
is
B
.
S
c
.
(H
o
n
’s
)
in
M
a
t
h
e
m
a
ti
c
s
a
n
d
M
.
S
c
.
(
Ap
p
li
e
d
M
a
t
h
e
m
a
ti
c
s
)
fro
m
Dh
a
k
a
Un
iv
e
rsity
.
He
o
b
tai
n
e
d
a
n
M
.
P
h
i
l.
d
e
g
re
e
fro
m
Ba
n
g
lad
e
s
h
Un
iv
e
rsit
y
o
f
E
n
g
in
e
e
rin
g
a
n
d
Tec
h
n
o
lo
g
y
(BUET)
.
His
re
se
a
rc
h
in
tere
sts
a
r
e
re
n
e
wa
b
l
e
e
n
e
rg
y
,
m
a
th
e
m
a
ti
c
a
l
m
o
d
e
li
n
g
,
m
a
c
h
in
e
lea
rn
i
n
g
,
a
n
d
sta
ti
stica
l
a
n
a
ly
sis.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
d
il
i
p
k
d
a
s@
iu
b
a
t.
e
d
u
.
S
u
m
a
n
Ch
o
wdh
u
r
y
is
a
n
a
ss
i
sta
n
t
p
r
o
fe
ss
o
r
in
th
e
D
e
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ic
En
g
in
e
e
ri
n
g
,
IUBA
T
-
In
tern
a
ti
o
n
a
l
Un
i
v
e
rsity
o
f
Bu
sin
e
ss
Ag
ricu
lt
u
re
a
n
d
Tec
h
n
o
l
o
g
y
,
Uttara
,
D
h
a
k
a
,
Ba
n
g
lad
e
sh
(ww
w.i
u
b
a
t.
e
d
u
)
.
He
wa
s
b
o
r
n
in
Ch
it
tag
o
n
g
.
S
u
m
a
n
Ch
o
wd
h
u
r
y
c
o
m
p
lete
d
h
is
S
S
C
i
n
th
e
y
e
a
r
o
f
2
0
0
5
fro
m
Ch
it
tag
o
n
g
M
u
n
icip
a
l
M
o
d
e
l
Hig
h
S
c
h
o
o
l
a
n
d
HSC
i
n
2
0
0
7
fro
m
Ch
it
tag
o
n
g
G
o
v
t.
Cit
y
C
o
ll
e
g
e
,
a
n
d
th
e
n
h
e
p
u
rsu
e
d
h
is
B
a
c
h
e
lo
r
o
f
S
c
ien
c
e
in
E
lec
tri
c
a
l
a
n
d
E
lec
tro
n
ic
E
n
g
in
e
e
rin
g
f
ro
m
Kh
u
ln
a
Un
i
v
e
rsity
o
f
En
g
i
n
e
e
rin
g
a
n
d
Tec
h
n
o
lo
g
y
(K
UET)
i
n
2
0
1
2
.
He
a
c
h
iev
e
d
M
e
r
it
/T
e
c
h
n
ica
l
S
c
h
o
lars
h
ip
i
n
se
v
e
ra
l
ti
m
e
s
fro
m
KU
ET
a
n
d
o
th
e
rs
e
d
u
c
a
ti
o
n
a
l
in
sti
tu
ti
o
n
.
H
e
a
lso
c
o
m
p
lete
d
M
a
ste
r
o
f
S
c
ien
c
e
(M
.
S
c
.
)
in
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ic
En
g
in
e
e
rin
g
fro
m
Dh
a
k
a
Un
iv
e
rsit
y
o
f
En
g
i
n
e
e
rin
g
a
n
d
Tec
h
n
o
l
o
g
y
(DU
ET
)
in
2
0
2
0
.
He
h
a
s
su
p
e
rv
ise
d
a
g
o
o
d
n
u
m
b
e
r
o
f
st
u
d
e
n
ts
in
p
ra
c
ti
c
u
m
a
n
d
th
e
sis
.
He
h
a
s
p
u
b
li
s
h
e
d
o
v
e
r
2
0
re
se
a
rc
h
p
a
p
e
rs
in
i
n
tern
a
ti
o
n
a
l
c
o
n
fe
re
n
c
e
s
a
n
d
jo
u
rn
a
ls
.
His
re
se
a
rc
h
a
re
a
s
in
c
lu
d
e
b
u
i
ld
i
n
g
i
n
teg
ra
ted
p
h
o
t
o
v
o
lt
a
ic,
re
n
e
wa
b
le
e
n
e
rg
y
,
b
io
m
e
d
ica
l
e
n
g
i
n
e
e
rin
g
,
d
i
g
it
a
l
si
g
n
a
l
p
r
o
c
e
ss
in
g
,
a
n
d
ima
g
e
p
ro
c
e
ss
in
g
.
He
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
.
Evaluation Warning : The document was created with Spire.PDF for Python.