Overview

Dataset statistics

Number of variables9
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory76.4 B

Variable types

Numeric2
Categorical5
Text2

Dataset

Description한국남동발전에서 진행중인 신재생에너지 사업에 대한 정보입니다. 형태, 사업명, 공동참여사 등에 대한 데이터를 포함하고 있습니다. 발전공기업(남동, 남부,동서, 서부, 중부) 표준데이터입니다.
URLhttps://www.data.go.kr/data/15043277/fileData.do

Alerts

발전사명 has constant value ""Constant
순번 is highly overall correlated with 용량(kW) and 2 other fieldsHigh correlation
용량(kW) is highly overall correlated with 순번High correlation
에너지원 is highly overall correlated with 순번High correlation
투자유형 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:39:40.321793
Analysis finished2023-12-12 15:39:41.546983
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T00:39:41.690724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-13T00:39:41.896183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

발전사명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
한국남동발전
54 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국남동발전
2nd row한국남동발전
3rd row한국남동발전
4th row한국남동발전
5th row한국남동발전

Common Values

ValueCountFrequency (%)
한국남동발전 54
100.0%

Length

2023-12-13T00:39:42.104730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:42.239289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국남동발전 54
100.0%

에너지원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
태양광
34 
연료전지
8 
소수력
5 
육상풍력
5 
해상풍력
 
2

Length

Max length4
Median length3
Mean length3.2777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row태양광
2nd row태양광
3rd row태양광
4th row태양광
5th row태양광

Common Values

ValueCountFrequency (%)
태양광 34
63.0%
연료전지 8
 
14.8%
소수력 5
 
9.3%
육상풍력 5
 
9.3%
해상풍력 2
 
3.7%

Length

2023-12-13T00:39:42.355416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:42.486153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 34
63.0%
연료전지 8
 
14.8%
소수력 5
 
9.3%
육상풍력 5
 
9.3%
해상풍력 2
 
3.7%

사업명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T00:39:42.768159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.6111111
Min length2

Characters and Unicode

Total characters357
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row영흥#1
2nd row삼천포#1
3rd row삼천포#2
4th row삼천포#3
5th row삼천포#4
ValueCountFrequency (%)
영흥#1 2
 
3.0%
고성그린파워 2
 
3.0%
태양광 2
 
3.0%
삼천포 2
 
3.0%
분당#6 1
 
1.5%
신안태양광(1단계 1
 
1.5%
신안태양광(2단계 1
 
1.5%
새만금 1
 
1.5%
육상1구역 1
 
1.5%
해창만 1
 
1.5%
Other values (52) 52
78.8%
2023-12-13T00:39:43.412938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 21
 
5.9%
12
 
3.4%
영 11
 
3.1%
양 11
 
3.1%
( 10
 
2.8%
1 10
 
2.8%
) 10
 
2.8%
광 10
 
2.8%
2 10
 
2.8%
태 9
 
2.5%
Other values (98) 243
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
71.1%
Decimal Number 38
 
10.6%
Other Punctuation 28
 
7.8%
Space Separator 12
 
3.4%
Open Punctuation 10
 
2.8%
Close Punctuation 10
 
2.8%
Uppercase Letter 4
 
1.1%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 11
 
4.3%
양 11
 
4.3%
광 10
 
3.9%
태 9
 
3.5%
수 9
 
3.5%
흥 9
 
3.5%
천 9
 
3.5%
삼 9
 
3.5%
포 8
 
3.1%
상 8
 
3.1%
Other values (79) 161
63.4%
Decimal Number
ValueCountFrequency (%)
1 10
26.3%
2 10
26.3%
5 4
 
10.5%
3 4
 
10.5%
4 3
 
7.9%
6 3
 
7.9%
9 2
 
5.3%
8 1
 
2.6%
0 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
# 21
75.0%
' 4
 
14.3%
, 3
 
10.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
W 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
71.1%
Common 99
 
27.7%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 11
 
4.3%
양 11
 
4.3%
광 10
 
3.9%
태 9
 
3.5%
수 9
 
3.5%
흥 9
 
3.5%
천 9
 
3.5%
삼 9
 
3.5%
포 8
 
3.1%
상 8
 
3.1%
Other values (79) 161
63.4%
Common
ValueCountFrequency (%)
# 21
21.2%
12
12.1%
( 10
10.1%
1 10
10.1%
) 10
10.1%
2 10
10.1%
5 4
 
4.0%
3 4
 
4.0%
' 4
 
4.0%
4 3
 
3.0%
Other values (6) 11
11.1%
Latin
ValueCountFrequency (%)
M 2
50.0%
W 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 254
71.1%
ASCII 103
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 21
20.4%
12
11.7%
( 10
9.7%
1 10
9.7%
) 10
9.7%
2 10
9.7%
5 4
 
3.9%
3 4
 
3.9%
' 4
 
3.9%
4 3
 
2.9%
Other values (9) 15
14.6%
Hangul
ValueCountFrequency (%)
영 11
 
4.3%
양 11
 
4.3%
광 10
 
3.9%
태 9
 
3.5%
수 9
 
3.5%
흥 9
 
3.5%
천 9
 
3.5%
삼 9
 
3.5%
포 8
 
3.1%
상 8
 
3.1%
Other values (79) 161
63.4%

용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14087.907
Minimum49
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T00:39:43.624859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile72.1
Q1994.75
median3498
Q311309.25
95-th percentile75739.65
Maximum99000
Range98951
Interquartile range (IQR)10314.5

Descriptive statistics

Standard deviation24868.82
Coefficient of variation (CV)1.7652601
Kurtosis4.9167199
Mean14087.907
Median Absolute Deviation (MAD)2794
Skewness2.4048979
Sum760747
Variance6.1845822 × 108
MonotonicityNot monotonic
2023-12-13T00:39:43.811102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000 3
 
5.6%
5720 2
 
3.7%
1000 1
 
1.9%
8350 1
 
1.9%
94000 1
 
1.9%
60000 1
 
1.9%
90000 1
 
1.9%
99000 1
 
1.9%
1638 1
 
1.9%
68061 1
 
1.9%
Other values (41) 41
75.9%
ValueCountFrequency (%)
49 1
1.9%
55 1
1.9%
63 1
1.9%
77 1
1.9%
100 1
1.9%
208 1
1.9%
350 1
1.9%
658 1
1.9%
750 1
1.9%
905 1
1.9%
ValueCountFrequency (%)
99000 1
1.9%
94000 1
1.9%
90000 1
1.9%
68061 1
1.9%
65000 1
1.9%
60000 1
1.9%
30000 1
1.9%
24000 1
1.9%
22500 1
1.9%
22000 1
1.9%

착공년월
Categorical

Distinct13
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-06
8 
2023-04
8 
2023-03
7 
2023-01
6 
2023-12
6 
Other values (8)
19 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique4 ?
Unique (%)7.4%

Sample

1st row2023-05
2nd row2023-05
3rd row2023-01
4th row2023-12
5th row2023-12

Common Values

ValueCountFrequency (%)
2023-06 8
14.8%
2023-04 8
14.8%
2023-03 7
13.0%
2023-01 6
11.1%
2023-12 6
11.1%
2023-07 5
9.3%
2023-09 5
9.3%
2023-05 3
 
5.6%
2023-11 2
 
3.7%
2018-16 1
 
1.9%
Other values (3) 3
 
5.6%

Length

2023-12-13T00:39:44.345355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-06 8
14.8%
2023-04 8
14.8%
2023-03 7
13.0%
2023-01 6
11.1%
2023-12 6
11.1%
2023-07 5
9.3%
2023-09 5
9.3%
2023-05 3
 
5.6%
2023-11 2
 
3.7%
2018-16 1
 
1.9%
Other values (3) 3
 
5.6%

준공년월
Categorical

Distinct17
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12
12 
2023-09
8 
2023-10
5 
2023-06
5 
2023-08
4 
Other values (12)
20 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique7 ?
Unique (%)13.0%

Sample

1st row2023-10
2nd row2023-10
3rd row2023-04
4th row2023-04
5th row2023-06

Common Values

ValueCountFrequency (%)
2023-12 12
22.2%
2023-09 8
14.8%
2023-10 5
9.3%
2023-06 5
9.3%
2023-08 4
 
7.4%
2023-05 4
 
7.4%
2023-01 3
 
5.6%
2023-02 2
 
3.7%
2023-04 2
 
3.7%
2023-11 2
 
3.7%
Other values (7) 7
13.0%

Length

2023-12-13T00:39:44.489660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12 12
22.2%
2023-09 8
14.8%
2023-10 5
9.3%
2023-06 5
9.3%
2023-08 4
 
7.4%
2023-05 4
 
7.4%
2023-01 3
 
5.6%
2023-11 2
 
3.7%
2023-04 2
 
3.7%
2023-02 2
 
3.7%
Other values (7) 7
13.0%

위치
Text

Distinct28
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T00:39:44.844154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25.5
Mean length22.425926
Min length2

Characters and Unicode

Total characters1211
Distinct characters124
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)38.9%

Sample

1st row인천광역시 옹진군 영흥면 영흥남로 293번길 75영흥발전본부
2nd row경남 고성군 하이면 하이로1 삼천포발전본부
3rd row경남 고성군 하이면 하이로1 삼천포발전본부
4th row경남 고성군 하이면 하이로1 삼천포발전본부
5th row경남 고성군 하이면 하이로1 삼천포발전본부
ValueCountFrequency (%)
경남 13
 
4.8%
고성군 10
 
3.7%
하이면 10
 
3.7%
인천광역시 9
 
3.3%
영흥면 9
 
3.3%
영흥남로 9
 
3.3%
293번길 9
 
3.3%
75영흥발전본부 9
 
3.3%
옹진군 9
 
3.3%
하이로1 8
 
2.9%
Other values (109) 177
65.1%
2023-12-13T00:39:45.485429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
18.2%
전 46
 
3.8%
남 40
 
3.3%
로 36
 
3.0%
시 34
 
2.8%
군 32
 
2.6%
영 30
 
2.5%
면 29
 
2.4%
부 29
 
2.4%
흥 28
 
2.3%
Other values (114) 686
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 836
69.0%
Space Separator 221
 
18.2%
Decimal Number 147
 
12.1%
Dash Punctuation 4
 
0.3%
Close Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 46
 
5.5%
남 40
 
4.8%
로 36
 
4.3%
시 34
 
4.1%
군 32
 
3.8%
영 30
 
3.6%
면 29
 
3.5%
부 29
 
3.5%
흥 28
 
3.3%
발 26
 
3.1%
Other values (99) 506
60.5%
Decimal Number
ValueCountFrequency (%)
3 26
17.7%
7 23
15.6%
2 22
15.0%
1 22
15.0%
9 17
11.6%
5 14
9.5%
6 9
 
6.1%
4 5
 
3.4%
8 5
 
3.4%
0 4
 
2.7%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 837
69.1%
Common 374
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 46
 
5.5%
남 40
 
4.8%
로 36
 
4.3%
시 34
 
4.1%
군 32
 
3.8%
영 30
 
3.6%
면 29
 
3.5%
부 29
 
3.5%
흥 28
 
3.3%
발 26
 
3.1%
Other values (100) 507
60.6%
Common
ValueCountFrequency (%)
221
59.1%
3 26
 
7.0%
7 23
 
6.1%
2 22
 
5.9%
1 22
 
5.9%
9 17
 
4.5%
5 14
 
3.7%
6 9
 
2.4%
4 5
 
1.3%
8 5
 
1.3%
Other values (4) 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 836
69.0%
ASCII 374
30.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
59.1%
3 26
 
7.0%
7 23
 
6.1%
2 22
 
5.9%
1 22
 
5.9%
9 17
 
4.5%
5 14
 
3.7%
6 9
 
2.4%
4 5
 
1.3%
8 5
 
1.3%
Other values (4) 10
 
2.7%
Hangul
ValueCountFrequency (%)
전 46
 
5.5%
남 40
 
4.8%
로 36
 
4.3%
시 34
 
4.1%
군 32
 
3.8%
영 30
 
3.6%
면 29
 
3.5%
부 29
 
3.5%
흥 28
 
3.3%
발 26
 
3.1%
Other values (99) 506
60.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

투자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
자체투자
34 
SPC
20 

Length

Max length4
Median length4
Mean length3.6296296
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자체투자
2nd row자체투자
3rd row자체투자
4th row자체투자
5th row자체투자

Common Values

ValueCountFrequency (%)
자체투자 34
63.0%
SPC 20
37.0%

Length

2023-12-13T00:39:45.689406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:45.842728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체투자 34
63.0%
spc 20
37.0%

Interactions

2023-12-13T00:39:41.066116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:40.870677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:41.179727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:39:40.969267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:39:45.958815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번에너지원사업명용량(kW)착공년월준공년월위치투자유형
순번1.0000.9500.9350.6020.5480.4180.8520.808
에너지원0.9501.0000.7650.6220.4150.2290.8400.136
사업명0.9350.7651.0000.3880.9560.9811.0001.000
용량(kW)0.6020.6220.3881.0000.0000.5070.9110.594
착공년월0.5480.4150.9560.0001.0000.2770.0000.369
준공년월0.4180.2290.9810.5070.2771.0000.4200.437
위치0.8520.8401.0000.9110.0000.4201.0001.000
투자유형0.8080.1361.0000.5940.3690.4371.0001.000
2023-12-13T00:39:46.115443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
에너지원투자유형착공년월준공년월
에너지원1.0000.1580.2090.069
투자유형0.1581.0000.2990.324
착공년월0.2090.2991.0000.044
준공년월0.0690.3240.0441.000
2023-12-13T00:39:46.243507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번용량(kW)에너지원착공년월준공년월투자유형
순번1.0000.5920.6580.2440.1400.589
용량(kW)0.5921.0000.4750.0000.2220.412
에너지원0.6580.4751.0000.2090.0690.158
착공년월0.2440.0000.2091.0000.0440.299
준공년월0.1400.2220.0690.0441.0000.324
투자유형0.5890.4120.1580.2990.3241.000

Missing values

2023-12-13T00:39:41.305096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:39:41.476978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번발전사명에너지원사업명용량(kW)착공년월준공년월위치투자유형
01한국남동발전태양광영흥#110002023-052023-10인천광역시 옹진군 영흥면 영흥남로 293번길 75영흥발전본부자체투자
12한국남동발전태양광삼천포#11002023-052023-10경남 고성군 하이면 하이로1 삼천포발전본부자체투자
23한국남동발전태양광삼천포#29902023-012023-04경남 고성군 하이면 하이로1 삼천포발전본부자체투자
34한국남동발전태양광삼천포#33502023-122023-04경남 고성군 하이면 하이로1 삼천포발전본부자체투자
45한국남동발전태양광삼천포#418502023-122023-06경남 고성군 하이면 하이로1 삼천포발전본부자체투자
56한국남동발전태양광예천20002023-032023-09경북 예천군 용문면 선리 산 42-6 외 5필지자체투자
67한국남동발전태양광여수#1552023-062023-09전남 여수시 여수산단로 727 여수발전본부자체투자
78한국남동발전태양광영동10652023-122023-05강원도 강릉시 강동면 염전길99 영동발전본부자체투자
89한국남동발전태양광구미정수장9922023-062023-10경북 구미시 첨단기업로8 하수종말처리장자체투자
910한국남동발전태양광탑선옥상형10102023-062023-10전라남도 장성군 동화면 전자농공단지길 32자체투자
순번발전사명에너지원사업명용량(kW)착공년월준공년월위치투자유형
4445한국남동발전소수력삼천포50002023-032023-09경남 고성군 하이면 하이로1 삼천포발전본부자체투자
4546한국남동발전소수력영흥#5,650002023-082023-06인천광역시 옹진군 영흥면 영흥남로 293번길 75영흥발전본부자체투자
4647한국남동발전소수력고성그린파워 소수력50002023-022023-05경남 고성군 하이면 하이로 34SPC
4748한국남동발전육상풍력영흥#1220002023-062023-08인천광역시 옹진군 영흥면 영흥남로 293번길 75영흥발전본부자체투자
4849한국남동발전육상풍력영흥#2240002023-072023-07인천광역시 옹진군 영흥면 영흥남로 293번길 75영흥발전본부자체투자
4950한국남동발전육상풍력삼천포 소형풍력7502023-062023-05경남 고성군 하이면 하이로1 삼천포발전본부자체투자
5051한국남동발전육상풍력경북 화산 풍력115502023-042020-30경상북도 군위군 고로면 화산길 619-2자체투자
5152한국남동발전육상풍력삼수풍력225002023-092020-17강원도 태백시 창죽동 산1-172 일원SPC
5253한국남동발전해상풍력탐라해상풍력300002023-042023-09제주특별자치도 제주시 한경면 두모11길 19SPC
5354한국남동발전해상풍력한국해상풍력75002023-052023-12전북 부 안군 위도 및 영광군 안마도 해상 일원SPC