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16
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s
o
lar
e
n
e
r
g
y
will
b
e
p
r
o
d
u
ce
d
an
d
h
o
w
h
o
t
p
h
o
to
v
o
ltaic
p
an
els
will
g
et.
T
h
e
r
esear
ch
h
as
lo
o
k
ed
at
b
o
th
o
f
th
ese
to
p
ics.
T
h
is
r
esear
ch
s
u
g
g
ests
th
at
m
ac
h
in
e
lear
n
in
g
is
b
ec
o
m
in
g
m
o
r
e
a
n
d
m
o
r
e
i
m
p
o
r
tan
t
f
o
r
m
a
k
in
g
s
o
lar
e
n
e
r
g
y
p
r
o
d
u
ctio
n
b
etter
[
1
0
]
-
[
1
5
]
.
Ma
ch
in
e
lear
n
in
g
m
ak
es p
r
ed
ictio
n
s
m
o
r
e
ac
cu
r
ate
an
d
u
s
ef
u
l
b
y
m
a
k
in
g
f
o
r
e
ca
s
ts
m
o
r
e
ac
cu
r
ate
an
d
u
s
ef
u
l
in
r
ea
l tim
e.
I
t
h
as
r
ec
e
n
tly
b
ee
n
s
h
o
w
n
th
at
u
s
in
g
d
ee
p
lear
n
in
g
,
m
ac
h
i
n
e
lear
n
in
g
,
a
n
d
s
tatis
tic
s
to
g
eth
er
ca
n
im
p
r
o
v
e
s
o
lar
p
o
wer
esti
m
ates.
T
r
ee
-
b
ased
m
o
d
els
an
d
s
u
p
p
o
r
t
v
ec
to
r
tech
n
i
q
u
es
ar
e
tw
o
ty
p
es
o
f
m
ac
h
i
n
e
lear
n
in
g
th
at
h
av
e
s
h
o
wn
a
lo
t
o
f
p
r
o
m
is
e
in
th
e
f
ield
o
f
p
r
ed
ictin
g
s
o
lar
o
u
tp
u
t
[
1
5
]
-
[
2
0
]
.
T
h
is
is
lar
g
ely
b
ec
au
s
e
th
ese
m
eth
o
d
s
ca
n
wo
r
k
with
d
if
f
er
en
t ty
p
es o
f
d
ata
an
d
ca
n
f
in
d
ce
r
tain
p
atter
n
s
in
h
o
w
s
o
lar
en
er
g
y
is
m
ad
e.
T
h
ese
ap
p
r
o
ac
h
es
ar
e
m
o
r
e
ac
c
u
r
ate
a
n
d
r
eliab
le
th
an
tr
ad
itio
n
al
o
n
es,
e
v
en
if
th
e
y
h
av
e
to
d
ea
l
with
th
e
co
m
p
lex
ity
o
f
n
o
n
-
lin
ea
r
in
ter
ac
tio
n
s
an
d
th
e
f
ac
t
th
at
s
o
lar
p
o
wer
g
en
er
atio
n
ca
n
v
ar
y
.
T
h
is
p
ap
e
r
s
u
g
g
ests
th
at
u
s
in
g
th
ese
m
o
d
els
will
m
ak
e
s
o
lar
en
e
r
g
y
esti
m
ates
m
o
r
e
ac
cu
r
ate
an
d
d
e
p
en
d
ab
le.
Acc
u
r
ate
an
d
d
e
p
en
d
a
b
le
s
o
lar
e
n
er
g
y
p
r
o
jectio
n
s
ar
e
n
ec
ess
ar
y
f
o
r
g
o
o
d
en
er
g
y
p
lan
n
in
g
an
d
o
p
er
atio
n
al
ef
f
icien
c
y
.
Usi
n
g
a
n
u
m
b
er
o
f
m
ac
h
i
n
e
l
ea
r
n
in
g
m
eth
o
d
s
,
y
o
u
ca
n
g
et
a
f
u
ll
p
ictu
r
e
o
f
h
o
w
s
o
lar
en
er
g
y
s
y
s
tem
s
wo
r
k
.
T
h
is
m
ak
es
it
p
o
s
s
ib
le
to
f
ix
p
r
o
b
lem
s
lik
e
p
o
wer
o
u
tp
u
t
th
at
is
n
'
t
s
tead
y
an
d
ch
an
g
es
in
en
er
g
y
p
r
o
d
u
ctio
n
.
Usi
n
g
th
is
m
eth
o
d
to
its
f
u
lles
t
p
o
ten
tial
will
m
ak
e
it
ea
s
ier
to
s
witch
to
clea
n
er
en
er
g
y
s
y
s
tem
s
b
y
m
ak
in
g
it
ea
s
ier
to
ad
d
r
en
ewa
b
le
en
er
g
y
s
o
u
r
ce
s
to
p
o
wer
n
etwo
r
k
s
.
T
h
e
p
u
r
p
o
s
e
o
f
th
is
p
r
o
ject
is
to
m
ak
e
it
ea
s
ier
to
o
p
er
ate
s
o
lar
p
o
we
r
p
la
n
ts
b
y
cr
ea
tin
g
ac
cu
r
ate
s
im
u
latio
n
s
o
f
h
o
w
th
ey
will
wo
r
k
.
T
h
is
will
m
ak
e
s
u
r
e
th
at
m
ak
in
g
a
n
d
d
is
tr
ib
u
tin
g
en
er
g
y
is
d
o
n
e
in
a
m
o
r
e
ef
f
icien
t w
ay
[
2
0
]
-
[
2
5
]
.
T
h
e
m
ain
p
o
in
ts
o
f
th
e
ar
ticle
ar
e
as f
o
llo
ws:
−
T
h
e
f
ir
s
t
s
tep
is
to
d
o
a
th
o
r
o
u
g
h
a
n
aly
s
is
o
f
th
e
liter
atu
r
e
o
n
th
e
is
s
u
e
o
f
s
o
lar
e
n
er
g
y
g
en
e
r
atio
n
f
o
r
ec
asts
in
p
h
o
to
v
o
ltaic
s
y
s
tem
s
.
T
h
e
p
u
r
p
o
s
e
is
to
b
r
in
g
atte
n
tio
n
to
th
e
m
o
s
t
im
p
o
r
tan
t
f
in
d
in
g
s
an
d
co
n
tr
ib
u
tio
n
s
f
r
o
m
th
e
s
tu
d
ies
th
at
h
av
e
b
ee
n
d
o
n
e
o
n
th
e
s
u
b
ject.
−
T
h
e
s
ec
o
n
d
p
ar
t o
f
th
is
d
eb
ate
s
u
g
g
ests
a
m
o
d
el
th
at
ca
n
a
n
ticip
ate
s
o
lar
en
er
g
y
in
all
s
itu
atio
n
s
.
−
L
o
o
k
in
g
at
an
d
co
m
p
ar
in
g
th
e
s
ev
er
al
way
s
to
p
r
ed
ict
h
o
w
m
u
ch
s
o
lar
en
er
g
y
will
b
e
p
r
o
d
u
ce
d
,
tak
in
g
in
to
co
n
s
id
er
atio
n
d
if
f
e
r
en
t p
o
in
ts
o
f
v
iew,
an
d
talk
in
g
a
b
o
u
t
th
e
p
r
o
s
an
d
co
n
s
o
f
ea
ch
m
et
h
o
d
.
−
Fo
cu
s
in
g
o
n
d
o
in
g
a
t
h
o
r
o
u
g
h
s
tu
d
y
o
f
th
ese
alg
o
r
ith
m
s
u
tili
zin
g
im
p
o
r
tan
t
p
er
f
o
r
m
an
ce
in
d
icato
r
s
in
clu
d
in
g
th
e
R
-
s
q
u
ar
ed
s
tatis
tic,
th
e
m
ea
n
s
q
u
ar
e
d
er
r
o
r
(
MSE
)
,
an
d
th
e
m
ea
n
ab
s
o
lu
t
e
er
r
o
r
(
MA
E
)
.
Als
o
,
d
aily
,
cu
m
u
lativ
e,
an
d
e
f
f
icien
cy
m
ea
s
u
r
es a
r
e
u
s
ed
to
m
ea
s
u
r
e
h
o
w
well
th
e
s
o
lar
p
l
an
t is d
o
in
g
.
−
On
e
way
to
c
h
ec
k
d
aily
p
e
r
f
o
r
m
an
ce
is
to
lo
o
k
at
th
e
d
aily
y
ield
,
wh
ich
is
th
e
to
tal
a
m
o
u
n
t
o
f
e
n
er
g
y
th
at
was
m
ad
e
o
n
th
at
d
ay
.
Fig
u
r
e
1
s
h
o
ws
th
at
cu
m
u
lativ
e
y
ield
is
a
way
to
est
im
ate
th
e
to
tal
am
o
u
n
t
o
f
en
er
g
y
p
r
o
d
u
ce
d
o
v
e
r
a
p
er
io
d
o
f
tim
e.
T
h
is
g
iv
es
an
id
ea
o
f
h
o
w
ef
f
icien
t
th
e
p
lan
t
will
b
e
o
v
er
th
e
lo
n
g
ter
m
s
h
o
wn
in
Fig
u
r
e
1.
Fig
u
r
e
1
.
Pro
ce
s
s
f
lo
w
d
iag
r
a
m
f
o
r
p
h
o
to
v
o
ltaic
s
y
s
tem
p
r
e
d
ictio
n
2.
P
E
RF
O
RM
A
NCE
M
E
T
R
I
C
S E
VA
L
UA
T
I
O
N
2
.
1
.
L
inea
r
r
eg
re
s
s
io
n
L
in
ea
r
r
eg
r
ess
io
n
is
a
way
to
u
s
e
s
tati
s
tics
to
f
it a
lin
ea
r
eq
u
atio
n
to
a
g
r
o
u
p
o
f
in
d
e
p
en
d
e
n
t v
ar
iab
les
an
d
a
d
ep
en
d
en
t
v
ar
ia
b
le.
T
h
i
s
is
th
e
m
ain
id
ea
b
eh
in
d
lin
ea
r
r
eg
r
ess
io
n
.
W
h
en
it
co
m
es
to
m
ak
in
g
en
e
r
g
y
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Ma
ch
in
e
lea
r
n
in
g
tec
h
n
iq
u
es f
o
r
s
o
la
r
en
erg
y
g
en
era
tio
n
p
r
ed
ictio
n
in
p
h
o
to
v
o
lta
ic
s
ystems
(
J.
S
u
mith
r
a
)
2057
it's
u
s
ef
u
l
to
b
e
ab
le
to
g
u
ess
th
e
o
u
tp
u
t
(
lik
e
co
n
s
tan
t
cu
r
r
en
t
p
o
we
r
)
d
ep
en
d
in
g
o
n
t
h
e
in
p
u
t
(
lik
e
d
i
r
ec
t
cu
r
r
en
t
p
o
wer
)
.
T
h
is
p
lan
is
s
im
p
le
an
d
wo
r
k
s
ef
f
ec
tiv
ely
wh
en
th
e
r
e
ar
e
clea
r
lin
ea
r
p
a
tter
n
s
,
as
s
h
o
wn
in
Fig
u
r
e
2
.
2
.
2
.
Dec
is
io
n
t
rees
A
d
ec
is
io
n
tr
ee
is
a
s
o
r
t
o
f
n
o
n
lin
ea
r
m
ac
h
in
e
lear
n
in
g
.
I
t
is
s
et
u
p
a
lo
t
lik
e
a
tr
ee
a
n
d
is
u
s
ed
to
m
ak
e
p
r
ed
ictio
n
s
.
T
h
e
leaf
n
o
d
es
s
h
o
w
th
e
o
u
tp
u
t
f
o
r
ec
as
t,
wh
ile
th
e
f
ea
tu
r
e
v
alu
es
h
e
lp
th
e
in
s
id
e
n
o
d
es
m
ak
e
d
ec
is
io
n
s
.
T
h
ey
ar
e
g
r
ea
t
f
o
r
wo
r
k
in
g
with
co
m
p
licated
d
ata
s
ets
wh
er
e
f
ea
tu
r
e
in
ter
ac
tio
n
s
ar
e
im
p
o
r
tan
t
,
s
in
ce
th
e
y
ca
n
s
h
o
w
b
o
th
lin
ea
r
a
n
d
n
o
n
-
lin
ea
r
c
o
r
r
elatio
n
s
.
2
.
3
.
Su
pp
o
rt
v
ec
t
o
r
ma
chines
(
SVM
)
Su
p
p
o
r
t
v
ec
to
r
m
ac
h
i
n
es
(
SVMs)
ar
e
a
s
tr
o
n
g
way
t
o
d
o
r
e
g
r
ess
io
n
an
d
class
if
icatio
n
,
as
s
h
o
wn
i
n
Fig
u
r
e
3
.
T
h
ey
ca
n
f
in
d
t
h
e
h
y
p
er
p
lan
e
th
at
b
est
s
ep
ar
ates
h
ig
h
-
d
im
en
s
io
n
al
d
ata
p
o
in
ts
.
Su
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
(
SVM)
ar
e
ex
ce
lle
n
t
f
o
r
p
r
ed
ictin
g
en
er
g
y
u
s
e
wh
en
th
e
lin
es
b
etwe
en
class
es
o
r
p
atter
n
s
ar
e
n
'
t
clea
r
,
s
in
ce
th
ey
ca
n
s
h
o
w
co
m
p
licated
an
d
n
o
n
-
lin
ea
r
co
r
r
elatio
n
s
b
etwe
en
in
p
u
t
v
ar
iab
l
es
an
d
o
u
tp
u
t.
T
h
e
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
i
n
e
wo
r
k
s
b
est
o
n
m
e
d
iu
m
-
s
ized
d
atasets
with
s
ev
er
al
d
im
en
s
i
o
n
s
.
B
ased
o
n
th
e
ca
lcu
latio
n
s
in
T
ab
le
1
,
we
h
a
v
e
m
ad
e
th
e
f
o
llo
win
g
e
x
tr
a
e
r
r
o
r
m
etr
ics
f
o
r
ea
ch
m
o
d
el:
R
MSE
,
MA
E
,
MSE
,
an
d
R
2
as
s
h
o
wn
in
Fig
u
r
e
4
.
T
h
e
co
m
p
a
r
is
o
n
s
h
o
ws
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
(
SVM)
p
er
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est
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(
0
.
1
0
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d
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0
.
0
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ee
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9
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7
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b
u
t h
ig
h
e
r
er
r
o
r
s
s
h
o
w
n
in
Fig
u
r
e
5
.
Fig
u
r
e
2
.
L
i
n
ea
r
r
e
g
r
ess
io
n
Fig
u
r
e
3
.
Dec
is
io
n
tr
ee
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
3
,
Sep
tem
b
er
20
25
:
205
5
-
2
0
6
2
2058
Fig
u
r
e
4
.
Su
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
Fig
u
r
e
5
. C
o
m
p
a
r
is
o
n
o
f
o
th
er
m
o
d
els
T
ab
le
1
.
Per
f
o
r
m
an
ce
m
etr
ics f
o
r
v
a
r
io
u
s
m
o
d
els
M
o
d
e
l
R
M
S
E
M
A
E
M
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E
R²
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n
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g
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9
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p
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t
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9
8
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g
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t
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B
M
0
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9
9
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1
0
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0
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0
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9
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t
0
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9
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9
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3
K
-
n
e
a
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e
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t
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b
o
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s
(
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N
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0
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0
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0
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0
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1
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8
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0
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9
6
9
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
DC
t
o
AC
co
nv
er
s
io
n e
f
f
iciency
T
h
e
p
er
ce
n
ta
g
e
o
f
AC
p
o
wer
t
o
DC
p
o
wer
is
wh
at
tells
y
o
u
h
o
w
ef
f
icien
t
th
e
DC
-
to
-
AC
co
n
v
er
s
io
n
is
,
g
iv
en
as
(
1
)
.
(
%
)
=
_
_
×
100
(
1
)
T
h
i
s
s
t
a
ti
s
ti
c
is
u
s
e
d
t
o
f
i
g
u
r
e
o
u
t
h
o
w
w
e
l
l
s
o
l
a
r
p
l
a
n
t
s
ca
n
t
u
r
n
D
C
o
u
t
p
u
t
i
n
t
o
A
C
el
e
c
t
r
i
c
i
ty
t
h
a
t
c
a
n
b
e
u
s
e
d
.
−
Daily
en
er
g
y
y
ield
:
T
h
e
d
ataset
co
n
tain
s
th
e
d
aily
y
ield
,
wh
ich
in
d
icate
s
th
e
to
tal
en
er
g
y
g
en
er
ated
ea
ch
d
ay
.
I
t is u
s
ed
to
tr
ac
k
a
n
d
v
is
u
alize
d
aily
v
ar
iatio
n
s
in
en
er
g
y
p
r
o
d
u
ctio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Ma
ch
in
e
lea
r
n
in
g
tec
h
n
iq
u
es f
o
r
s
o
la
r
en
erg
y
g
en
era
tio
n
p
r
ed
ictio
n
in
p
h
o
to
v
o
lta
ic
s
ystems
(
J.
S
u
mith
r
a
)
2059
−
C
u
m
u
lativ
e
y
ield
:
T
h
e
to
tal
y
ield
r
ep
r
esen
ts
th
e
to
tal
ac
cu
m
u
lated
e
n
er
g
y
o
v
er
tim
e.
I
t
is
ca
lcu
lated
b
y
s
u
m
m
in
g
th
e
d
aily
y
ield
ac
r
o
s
s
d
ay
s
,
p
r
o
v
id
in
g
i
n
s
ig
h
ts
in
to
th
e
p
lan
t'
s
lo
n
g
-
ter
m
p
e
r
f
o
r
m
a
n
ce
.
C
u
m
u
lativ
e
y
ield
=
∑
(
DA
IL
Y
_
Y
IE
L
D
)
T
h
is
co
d
e
m
ak
es
a
lin
e
p
lo
t
t
h
at
s
h
o
ws
h
o
w
th
e
d
aily
en
e
r
g
y
y
ield
f
o
r
ea
c
h
p
la
n
t
h
as
c
h
an
g
ed
o
v
er
tim
e.
T
h
e
p
lan
ts
ar
e
s
eg
r
eg
at
ed
b
y
th
eir
I
Ds.
T
h
e
x
-
ax
is
s
h
o
ws
th
e
d
ate
an
d
tim
e,
an
d
t
h
e
y
-
a
x
is
s
h
o
ws
th
e
d
aily
y
ield
in
k
ilo
watt
-
h
o
u
r
s
(
k
W
h
)
.
W
e
g
iv
e
ea
ch
p
lan
t
a
d
if
f
er
en
t
co
lo
r
u
s
in
g
th
e
"Set1
"
p
alette
an
d
h
ig
h
lig
h
t
s
o
m
e
p
lace
s
to
d
r
aw
th
e
v
iewe
r
'
s
atten
tio
n
to
ce
r
tain
ar
ea
s
.
W
ith
th
e
h
elp
o
f
lab
els,
th
e
leg
en
d
ca
n
tell
ea
ch
p
lan
t
ap
ar
t
b
y
its
u
n
iq
u
e
id
en
tific
atio
n
n
u
m
b
er
(
I
D)
.
B
ec
au
s
e
o
f
th
is
,
it
i
s
p
o
s
s
ib
le
to
clea
r
ly
an
d
u
n
am
b
ig
u
o
u
s
ly
co
m
p
ar
e
th
e
en
er
g
y
y
ield
p
atter
n
s
o
f
ea
c
h
p
lan
t
o
v
er
tim
e.
T
h
is
m
ak
es
it
p
o
s
s
ib
le
to
s
ee
tr
en
d
s
an
d
d
if
f
er
e
n
ce
s
in
p
er
f
o
r
m
an
ce
.
T
h
is
s
ca
tter
p
lo
t
s
h
o
ws
h
o
w
d
i
r
ec
t
cu
r
r
en
t (
DC
)
an
d
alter
n
ati
n
g
c
u
r
r
en
t
(
AC
)
p
o
wer
a
r
e
c
o
n
n
ec
ted
i
n
a
s
o
lar
p
o
wer
p
lan
t
s
y
s
tem
.
I
n
v
er
ter
s
c
h
an
g
e
th
e
d
ir
ec
t
c
u
r
r
en
t
(
DC
)
p
o
wer
t
h
at
s
o
lar
p
an
els
m
ak
e
in
to
alter
n
atin
g
c
u
r
r
en
t
(
AC
)
.
T
h
e
y
-
ax
is
o
f
Fig
u
r
e
6
s
h
o
ws
AC
p
o
wer
,
an
d
th
e
x
-
a
x
is
s
h
o
ws
d
ir
ec
t
cu
r
r
en
t
(
DC
)
p
o
wer
.
T
o
m
a
k
e
it
ea
s
ier
to
co
m
p
ar
e
d
ata
f
r
o
m
d
if
f
er
en
t
p
lan
ts
,
p
o
in
ts
ar
e
co
lo
r
-
c
o
d
ed
b
ased
o
n
th
e
ty
p
e
o
f
p
lan
t
th
ey
ca
m
e
f
r
o
m
.
Yo
u
ca
n
u
s
e
th
is
ch
ar
t
to
s
ee
h
o
w
we
ll
ea
ch
p
lan
t's
in
v
er
ter
ch
an
g
e
s
DC
to
A
C
.
I
f
th
e
am
o
u
n
t
o
f
d
ir
ec
t
cu
r
r
en
t
(
DC
)
p
o
wer
g
o
es
u
p
,
th
e
am
o
u
n
t
o
f
alter
n
atin
g
cu
r
r
en
t
(
AC
)
p
o
wer
will
also
g
o
u
p
b
y
th
e
s
am
e
am
o
u
n
t.
I
n
a
p
e
r
f
ec
t
wo
r
ld
,
th
e
p
a
r
tn
er
s
h
ip
wo
u
ld
b
e
s
tr
aig
h
t.
Fig
u
r
e
7
s
h
o
w
s
th
at
s
o
m
e
p
a
r
ts
o
f
th
e
co
n
v
e
r
s
io
n
p
r
o
ce
s
s
m
ay
n
o
t b
e
v
er
y
g
o
o
d
o
r
m
a
y
n
o
t
wo
r
k
v
e
r
y
well.
F
ig
u
r
e
6
.
Daily
y
ield
o
v
e
r
tim
e
f
o
r
ea
c
h
p
lan
t
F
ig
u
r
e
7
.
AC
p
o
wer
v
s
.
DC
p
o
wer
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
3
,
Sep
tem
b
er
20
25
:
205
5
-
2
0
6
2
2060
4.
CO
NCLU
SI
O
N
T
h
e
r
esu
lts
s
h
o
wed
th
at
th
e
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e
m
o
d
el
wo
r
k
ed
b
etter
th
a
n
all
th
e
o
th
er
m
o
d
els.
I
t
is
b
etter
at
ex
p
lain
in
g
v
ar
ia
tio
n
th
an
lin
ea
r
r
eg
r
ess
io
n
an
d
d
ec
is
io
n
tr
ee
s
s
in
ce
it
h
as
t
h
e
h
ig
h
est
R
2
v
alu
e
(
0
.
9
9
9
)
.
I
ts
lo
west
m
ea
n
ab
s
o
l
u
te
er
r
o
r
(
MA
E
)
o
f
0
.
1
0
1
an
d
r
o
o
t
m
ea
n
s
q
u
ar
ed
er
r
o
r
(
R
M
SE)
o
f
0
.
0
2
2
s
h
o
w
th
at
it
is
v
er
y
ac
cu
r
ate
an
d
r
el
iab
le
at
f
in
d
in
g
p
atter
n
s
an
d
m
ak
in
g
f
ewe
r
m
is
tak
es
wh
en
m
ak
in
g
p
r
ed
ictio
n
s
.
T
h
ese
t
wo
m
e
asu
r
es
s
h
o
w
e
v
e
n
m
o
r
e
h
o
w
we
ll
it
ca
n
l
o
we
r
f
o
r
ec
as
t
m
is
ta
k
es
.
Pla
n
t
o
p
e
r
a
t
o
r
s
ca
n
g
et
b
e
tte
r
a
t
f
i
g
u
r
i
n
g
o
u
t
h
o
w
t
o
p
r
e
d
ic
t
a
n
d
e
n
h
a
n
c
e
p
e
r
f
o
r
m
a
n
c
e
b
y
lea
r
n
in
g
h
o
w
t
o
ass
ess
d
ail
y
c
h
an
g
es
in
e
n
e
r
g
y
y
i
el
d
.
T
h
e
cu
m
u
lativ
e
y
ield
s
tu
d
y
,
wh
ich
lo
o
k
s
at
tr
en
d
s
in
en
er
g
y
o
u
tp
u
t
o
v
er
a
lo
n
g
p
er
io
d
o
f
tim
e,
ad
d
s
to
th
is
.
Fo
r
ex
am
p
le,
if
a
p
lan
t
m
ak
es
5
0
0
k
W
h
in
th
e
f
ir
s
t
f
iv
e
d
ay
s
an
d
8
0
0
k
W
h
in
th
e
n
e
x
t
f
iv
e
d
ay
s
,
th
at
s
h
o
ws
a
co
n
s
tan
t
in
cr
ea
s
e,
wh
ich
is
a
s
ig
n
o
f
o
p
e
r
atio
n
al
ef
f
icien
cy
a
n
d
g
r
o
wth
.
T
h
ese
in
s
ig
h
ts
ar
e
v
er
y
im
p
o
r
tan
t
f
o
r
m
ak
in
g
s
o
lar
p
o
wer
p
lan
ts
m
o
r
e
ef
f
icien
t a
n
d
m
ak
i
n
g
s
u
r
e
th
ey
ca
n
k
ee
p
wo
r
k
in
g
f
o
r
a
l
o
n
g
tim
e.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
T
h
e
au
th
o
r
s
co
n
f
ir
m
th
at
th
e
r
esear
ch
was c
ar
r
ied
o
u
t i
n
d
ep
e
n
d
en
tly
with
o
u
t f
in
an
cial
i
n
f
lu
en
ce
.
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
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2088
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