Oper Day
stringclasses
7 values
Hour Ending
int64
1
24
HB_BUSAVG
float64
10
54.1
HB_HOUSTON
float64
10.9
54.5
HB_HUBAVG
float64
8.92
54.7
HB_NORTH
float64
10
53.6
HB_PAN
float64
-0.87
54
HB_SOUTH
float64
7.21
54
HB_WEST
float64
-1.61
56.6
LZ_AEN
float64
10.9
54.8
LZ_CPS
float64
11.3
57.7
LZ_HOUSTON
float64
11
54.5
LZ_LCRA
float64
10.7
55.1
LZ_NORTH
float64
10
53.6
LZ_RAYBN
float64
9.97
53.7
LZ_SOUTH
float64
5.8
52.8
LZ_WEST
float64
-1.5
69.3
1/18/23
1
16.67
17.28
16.88
16.52
14.65
16.19
17.53
19.44
22.89
17.34
20.7
16.46
16.42
12.67
24.21
1/18/23
2
11.12
12.02
11.35
10.71
8.6
11.54
11.15
13.85
17.16
12.15
15.25
10.64
10.6
9.16
17
1/18/23
3
10.32
10.9
10.55
10.04
8.46
10.2
11.06
12.35
14.77
10.98
13.33
10
9.97
8.37
16.62
1/18/23
4
11.09
11.77
11.31
10.62
8.87
11.72
11.15
12.35
13.85
11.93
13.09
10.58
10.56
11.81
16.19
1/18/23
5
13.69
14.84
14.02
12.51
10.14
16.57
12.17
15.82
18.33
15
17.16
12.42
12.41
16.99
17.21
1/18/23
6
18.72
19.91
19.06
17.57
14.95
21.45
17.33
20.75
23.02
20.09
21.98
17.48
17.47
21.51
22.37
1/18/23
7
26.41
29.23
26.96
23.66
18.94
34.33
20.61
31.6
37.49
29.49
34.76
23.45
23.43
34.36
27.61
1/18/23
8
23.02
26.47
23.34
20.14
13.43
32.42
14.31
29.13
35.7
26.77
32.65
20
19.96
32.07
21.78
1/18/23
9
20.58
24.32
20.48
18
8.65
30.79
8.8
27.71
33.99
24.55
30.02
18.01
18.06
29.77
12.31
1/18/23
10
14.4
18.08
13.38
13.54
0.07
22.11
-0.21
20.19
24.05
18.37
21.33
13.36
13.53
21.66
1.36
1/18/23
11
13.81
17.47
12.74
13.08
-0.31
21.2
-0.81
19.86
23.04
17.79
20.41
12.99
13.11
20.76
0.43
1/18/23
12
13.53
17.52
12.32
13.25
-0.87
19.71
-1.18
18.7
21.21
18.06
19.13
13.11
13.29
19.35
-0.36
1/18/23
13
13.33
17.66
12.41
12.35
-0.44
20.84
-1.21
19.41
22.66
18.17
19.79
12.19
12.36
20.38
-0.9
1/18/23
14
13.23
17.64
12.46
11.86
-0.23
21.54
-1.19
19.93
23.66
18.04
20.25
11.8
11.96
21.13
-1.13
1/18/23
15
12.49
17.13
11.93
10.71
-0.33
21.41
-1.55
18.95
24.74
17.64
19.5
10.52
10.68
21.11
-1.5
1/18/23
16
13.09
17.59
12.58
10.93
-0.4
23.42
-1.61
19.52
28.44
18.04
20.39
10.68
10.83
23.24
-1.36
1/18/23
17
16.17
21.57
15.88
12.83
0.67
30
-0.89
24.84
35.86
21.91
26.39
12.9
13.13
29.32
1.09
1/18/23
18
33.13
39.48
33.34
27.83
13.94
52.32
13.75
45.4
57.74
39.84
49.69
27.42
27.53
51.24
18.54
1/18/23
19
36.54
41.64
36.77
32.1
21.07
52.4
20.95
46.16
57.04
41.93
50.07
31.77
31.77
51.62
26.11
1/18/23
20
25.2
28.86
25.57
21.92
14.91
36.01
15.49
31.61
39.31
29.2
34.24
21.81
21.79
35.51
20.78
1/18/23
21
22.74
26.21
22.92
19.91
12.71
32.66
12.9
28.39
35.56
26.52
31.02
19.75
19.77
32.29
17.1
1/18/23
22
19.72
22.21
20.19
17.03
13.22
27.79
13.73
24.1
30.28
22.45
26.33
16.97
16.92
27.53
18.54
1/18/23
23
19.53
21.48
20.06
17.11
14.43
26.42
15.21
23.21
28.54
21.62
25.13
17.04
17
26.24
20.02
1/18/23
24
17.42
18.98
17.91
15.38
13.33
23.04
14.23
20.43
24.78
19.1
22.03
15.3
15.28
22.83
18.77
1/19/23
1
15.49
15.83
15.78
14.99
14.68
16.03
16.29
15.64
16.31
16
15.88
15.03
15.01
16.1
20.29
1/19/23
2
16.42
16.36
16.59
16.28
16.27
16.14
17.59
16.12
16.15
16.41
16.09
16.34
16.32
16.3
21.09
1/19/23
3
17.69
17.61
17.84
17.57
17.55
17.48
18.69
17.46
17.48
17.64
17.44
17.61
17.6
17.62
21.7
1/19/23
4
20.18
20.1
20.38
20
20.06
19.94
21.47
19.94
19.97
20.15
19.93
20.02
20.01
20.08
25.03
1/19/23
5
21.67
21.44
22.1
21.31
21.73
21.12
24.54
21.28
21.45
21.5
21.31
21.3
21.31
21.25
30.91
1/19/23
6
25.25
24.96
25.66
25
25.4
24.41
28.27
24.93
25.22
25
24.98
24.99
25
24.11
34.27
1/19/23
7
30.67
30.6
30.9
30.57
30.59
30.01
32.44
30.91
31.51
30.64
31.04
30.6
30.54
29.38
38.24
1/19/23
8
35.84
36.07
36.09
35.85
35.9
34.63
37.82
36.19
36.7
36.12
36.33
35.87
35.82
32.99
44.37
1/19/23
9
32.05
32.49
32.14
32.35
32.35
30.34
33.4
32.49
32.58
32.51
32.52
32.36
32.34
27.99
37.18
1/19/23
10
25.59
25.88
25.58
26
26.26
23.86
26.58
25.8
25.75
25.87
25.76
26.05
26.02
21.87
28.66
1/19/23
11
25.27
25.5
25.27
25.53
25.67
24.14
25.91
25.41
25.38
25.52
25.39
25.54
25.55
22.75
27.61
1/19/23
12
25.3
25.44
25.29
25.53
25.64
24.38
25.83
25.42
25.42
25.44
25.41
25.53
25.54
23.75
27.23
1/19/23
13
25.58
25.77
25.59
25.75
25.78
24.81
26.02
25.75
25.77
25.79
25.75
25.75
25.75
24.29
27.5
1/19/23
14
24.79
24.98
24.79
25
25.07
23.87
25.33
25
25.03
24.97
25
25
25
23.21
27.01
1/19/23
15
23.25
23.36
23.28
23.33
23.45
22.74
23.67
23.27
23.27
23.38
23.26
23.33
23.34
22.54
25.46
1/19/23
16
22.87
23
22.88
22.96
22.95
22.47
23.1
22.95
22.95
23.02
22.95
22.96
22.96
22.08
24.13
1/19/23
17
27.17
27.31
27.24
27.18
27.25
26.76
27.73
27.31
27.38
27.33
27.34
27.17
27.17
26.14
30.73
1/19/23
18
54.13
54.45
54.65
53.53
53.59
54.02
56.6
54.81
55.43
54.5
55.09
53.5
53.46
52.78
69.34
1/19/23
19
44.52
44.6
45.03
43.89
43.84
44.56
47.08
44.95
45.46
44.62
45.2
43.87
43.83
43.94
59.64
1/19/23
20
32.72
32.92
33.18
32.09
32.29
32.96
34.74
32.95
33.57
33.01
33.2
32.1
32.06
32.98
46.39
1/19/23
21
30.34
30.59
30.7
29.84
29.79
30.61
31.77
30.68
31.24
30.68
30.9
29.82
29.79
30.46
41.57
1/19/23
22
24.4
24.5
24.62
24.17
24.14
24.29
25.52
24.56
24.79
24.55
24.66
24.16
24.14
23.98
31.65
1/19/23
23
21.48
21.42
21.68
21.23
21.22
21.51
22.57
21.49
21.63
21.43
21.56
21.23
21.22
21.58
27.39
1/19/23
24
20.54
20.5
20.69
20.38
20.45
20.5
21.37
20.5
20.56
20.52
20.54
20.38
20.38
20.56
25.11
1/20/23
1
17.78
17.96
17.71
17.75
17.58
18.13
16.99
18.03
18.21
17.96
18.09
17.77
17.76
18.22
31.99
1/20/23
2
15.99
16.13
15.92
15.97
15.82
16.27
15.32
16.2
16.33
16.14
16.25
15.98
15.97
16.35
26.31
1/20/23
3
15.87
15.97
15.82
15.85
15.7
16.07
15.41
16.02
16.12
15.97
16.05
15.86
15.85
16.13
23.3
1/20/23
4
16.35
16.45
16.31
16.32
16.18
16.56
15.89
16.5
16.6
16.46
16.54
16.35
16.33
16.62
24.12
1/20/23
5
16.71
16.82
16.66
16.68
16.53
16.93
16.19
16.87
16.98
16.82
16.91
16.7
16.69
17
24.51
1/20/23
6
20.14
20.3
20.06
20.12
19.95
20.43
19.38
20.36
20.49
20.3
20.41
20.16
20.13
20.51
28.97
1/20/23
7
26.01
26.2
25.93
26
25.82
26.33
25.19
26.26
26.39
26.2
26.31
26.05
26
26.45
34.79
1/20/23
8
25.01
25.25
24.94
25
24.85
25.25
24.25
25.31
25.3
25.28
25.25
25.03
25.05
25.35
32.15
1/20/23
9
20.86
21.16
20.81
20.78
20.68
21.3
20
23.28
21.36
21.2
21.26
20.82
20.79
21.23
25.35
1/20/23
10
19.38
20.15
19.36
18.97
18.21
21
17.31
22.3
21.47
20.23
20.93
19.01
18.97
21.11
20.21
1/20/23
11
17.31
18.18
17.15
17
15.62
19.17
14.26
20.74
19.74
18.26
18.98
17.22
17.08
19.37
16.53
1/20/23
12
16.49
18.07
16.06
16.1
11.66
19.83
10.23
21.82
20.71
18.17
19.52
16.22
16.16
19.87
12.75
1/20/23
13
14.94
17.39
14.08
14.79
6.16
19.21
4.95
18.64
20.25
17.58
18.83
14.76
14.81
19.19
7.82
1/20/23
14
14.23
17.1
13.07
14.27
3.11
19.06
1.87
17.47
20.21
17.3
18.68
14.19
14.28
19.05
4.89
1/20/23
15
13.62
16.66
12.35
13.81
1.73
18.32
0.59
17.2
19.42
16.91
17.97
13.7
13.84
18.3
3.78
1/20/23
16
13.26
16.18
11.91
13.59
1.02
17.81
0.04
16.49
18.8
16.38
17.43
13.49
13.63
17.66
3.06
1/20/23
17
14.14
17.19
12.63
14.63
0.96
18.77
-0.04
17.73
19.76
17.39
18.41
14.51
14.68
18.6
4.09
1/20/23
18
20.15
23.04
19
20
7.68
25.7
7.25
24.08
27.36
23.19
25.51
19.86
19.97
25.22
14.8
1/20/23
19
21.68
24.56
20.66
21.34
9.28
27.36
9.41
25.75
29.33
24.71
27.23
21.17
21.28
26.68
15.41
1/20/23
20
19.47
22.23
18.53
19
6.98
25.3
7.59
23.46
27.06
22.35
24.99
18.83
18.94
24.98
13.74
1/20/23
21
17.6
20.46
16.63
17.06
4.95
23.85
5.15
21.8
25.63
20.57
23.44
16.87
17
23.67
11.03
1/20/23
22
16.73
19.14
16.3
15.69
7.35
22.49
7.88
20.36
24.2
19.27
22.08
15.54
15.59
22.51
13.76
1/20/23
23
17.86
19.43
17.43
17.41
10.37
21.47
11.4
20.25
22.6
19.48
21.21
17.28
17.41
21.32
16.2
1/20/23
24
15.67
16.71
15.49
15.26
11.05
17.98
12
17.17
18.81
16.78
17.88
15.22
15.25
17.94
17.1
1/21/23
1
17.4
17.45
17.64
16.96
16.48
17.98
18.17
17.67
18.21
17.47
17.9
16.94
16.94
17.98
21.87
1/21/23
2
17.89
17.78
18.1
17.62
17.3
17.94
19.05
17.85
18
17.78
17.91
17.62
17.62
17.98
22.65
1/21/23
3
20.1
19.92
20.36
19.83
19.43
19.99
21.68
19.95
20.02
19.92
19.97
19.83
19.83
20.06
26.48
1/21/23
4
20.46
20.2
20.82
20.08
19.54
20.3
22.73
20.24
20.34
20.2
20.27
20.08
20.07
20.39
29.15
1/21/23
5
22.63
22.37
23.01
22.22
21.34
22.49
24.97
22.42
22.54
22.37
22.46
22.21
22.21
22.57
31.58
1/21/23
6
23.81
23.5
24.27
23.29
21.95
23.69
26.61
23.6
23.76
23.51
23.66
23.28
23.26
23.78
34.04
1/21/23
7
24.59
24.46
24.96
24.11
22.27
24.78
26.5
24.61
24.91
24.47
24.74
24.1
24.08
24.85
33.09
1/21/23
8
30.16
30.09
30.57
29.57
27.33
30.6
32.01
30.33
30.81
30.11
30.55
29.57
29.53
30.66
38.72
1/21/23
9
33.34
33.37
33.53
33.01
32.03
33.73
33.99
33.54
33.88
33.38
33.71
33.02
32.99
33.76
37.91
1/21/23
10
29.9
30
29.94
29.76
29.25
30.25
29.73
30.11
30.35
30.01
30.24
29.77
29.75
30.26
30.21
1/21/23
11
25.04
25.13
25.08
24.92
24.21
25.36
24.91
25.24
25.45
25.14
25.35
24.93
24.9
25.37
25.28
1/21/23
12
20.27
20.5
20.33
20
18.95
21.02
19.82
20.73
21.24
20.53
21
19.98
19.97
21.02
20.54
1/21/23
13
19.29
19.47
19.33
19.08
18.33
19.88
18.9
19.64
20.05
19.48
19.82
19.06
19.05
19.89
19.3
1/21/23
14
18.13
18.53
18.19
17.71
17.08
19.44
17.08
18.88
19.82
18.56
19.25
17.68
17.67
19.41
17.23
1/21/23
15
14.76
15.89
14.76
13.9
11.61
17.98
11.24
16.67
18.88
15.97
17.54
13.83
13.83
17.83
11.46
1/21/23
16
12.93
14.87
12.68
11.91
6.61
17.89
6.04
15.96
19.18
14.98
17.19
11.78
11.82
17.68
6.15
1/21/23
17
13.46
15.68
13.14
12.32
5.99
19.17
5.38
16.99
20.66
15.8
18.4
12.18
12.23
18.87
5.77
1/21/23
18
24.46
26.87
24.93
21.84
17.3
32.39
18.61
29.11
34.71
27
31.52
21.66
21.6
32.12
21.64
1/21/23
19
26.24
28.13
26.67
24.09
20.01
32.53
21.92
29.98
34.41
28.23
32.03
23.95
23.9
32.4
25.67
1/21/23
20
23.6
25.3
24.02
21.59
18.22
29.37
19.83
26.92
31.06
25.4
28.63
21.46
21.42
29.24
23.15
1/21/23
21
23.09
24.76
23.54
21.07
17.9
28.81
19.51
26.35
30.49
24.85
28.07
20.94
20.89
28.75
22.83
1/21/23
22
19.77
21.32
20.23
17.81
15.44
25.17
16.61
22.8
26.77
21.41
24.39
17.69
17.66
25.11
19.91
1/21/23
23
21.2
22.48
21.6
19.54
17.69
25.72
18.66
23.71
27.06
22.56
25.07
19.45
19.42
25.75
22.06
1/21/23
24
19.55
20.3
19.84
18.46
17.32
22.33
18.26
21.1
23.18
20.36
22
18.4
18.38
22.34
21.87
1/22/23
1
23.38
23.22
23.72
22.96
22.35
23.47
25.23
23.33
23.57
23.22
23.44
22.95
22.95
23.55
30.45
1/22/23
2
21.41
21.16
21.76
21.04
20.55
21.27
23.58
21.21
21.31
21.16
21.24
21.04
21.03
21.36
29.35
1/22/23
3
22.01
21.73
22.42
21.56
20.76
21.87
24.51
21.79
21.93
21.73
21.84
21.56
21.55
21.94
30.91
1/22/23
4
24.07
23.75
24.53
23.61
22.62
23.79
26.98
23.87
24.06
23.75
23.93
23.6
23.59
23.68
34.48

Load Dataset

pip install datasets
from datasets import load_dataset

electricity = load_dataset("worldboss/electricity-prices", split="train")

pd.DataFrame(electricity).head()

Author

The data was constructed by Theophilus Siameh ([email protected]).

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