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Datasets:
PGLearn
/
PGLearn-Small

Tasks:
Tabular Regression
Size:
1M<n<10M
Tags:
energy
optimization
optimal_power_flow
power_grid
License:
Dataset card Files Community
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  1. 118_ieee/case.json.gz +3 -0
  2. 118_ieee/config.toml +53 -0
  3. 118_ieee/infeasible/ACOPF/dual.h5.gz +3 -0
  4. 118_ieee/infeasible/ACOPF/meta.h5.gz +3 -0
  5. 118_ieee/infeasible/ACOPF/primal.h5.gz +3 -0
  6. 118_ieee/infeasible/DCOPF/dual.h5.gz +3 -0
  7. 118_ieee/infeasible/DCOPF/meta.h5.gz +3 -0
  8. 118_ieee/infeasible/DCOPF/primal.h5.gz +3 -0
  9. 118_ieee/infeasible/SOCOPF/dual.h5.gz +3 -0
  10. 118_ieee/infeasible/SOCOPF/meta.h5.gz +3 -0
  11. 118_ieee/infeasible/SOCOPF/primal.h5.gz +3 -0
  12. 118_ieee/infeasible/input.h5.gz +3 -0
  13. 118_ieee/test/ACOPF/dual.h5.gz +3 -0
  14. 118_ieee/test/ACOPF/meta.h5.gz +3 -0
  15. 118_ieee/test/ACOPF/primal.h5.gz +3 -0
  16. 118_ieee/test/DCOPF/dual.h5.gz +3 -0
  17. 118_ieee/test/DCOPF/meta.h5.gz +3 -0
  18. 118_ieee/test/DCOPF/primal.h5.gz +3 -0
  19. 118_ieee/test/SOCOPF/dual.h5.gz +3 -0
  20. 118_ieee/test/SOCOPF/meta.h5.gz +3 -0
  21. 118_ieee/test/SOCOPF/primal.h5.gz +3 -0
  22. 118_ieee/test/input.h5.gz +3 -0
  23. 118_ieee/train/ACOPF/dual.h5.gz +3 -0
  24. 118_ieee/train/ACOPF/meta.h5.gz +3 -0
  25. 118_ieee/train/ACOPF/primal.h5.gz +3 -0
  26. 118_ieee/train/DCOPF/dual.h5.gz +3 -0
  27. 118_ieee/train/DCOPF/meta.h5.gz +3 -0
  28. 118_ieee/train/DCOPF/primal.h5.gz +3 -0
  29. 118_ieee/train/SOCOPF/dual.h5.gz +3 -0
  30. 118_ieee/train/SOCOPF/meta.h5.gz +3 -0
  31. 118_ieee/train/SOCOPF/primal.h5.gz +3 -0
  32. 118_ieee/train/input.h5.gz +3 -0
118_ieee/case.json.gz ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:215424e4c73851d2458212d3ee5fb5ec16c7a56d47425477cb3f21f52979aaf3
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118_ieee/config.toml ADDED
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+ # Name of the reference PGLib case. Must be a valid PGLib case name.
2
+ pglib_case = "pglib_opf_case118_ieee"
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+ # Directory where instance/solution files are exported
4
+ # must be a valid directory
5
+ export_dir = "/storage/home/hcoda1/0/mtanneau3/Git/OPFGenerator/data/scratch/118_ieee"
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+ floating_point_type = "Float32"
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+
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+ [slurm]
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+ n_samples = 1000000
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+ n_jobs = 42
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+ minibatch_size = 256
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+ queue = "embers"
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+ charge_account = "gts-mtanneau3"
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+ extract_memory = "256gb"
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+
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+ [sampler]
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+ # data sampler options
18
+ [sampler.load]
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+ noise_type = "ScaledUniform" # Only "ScaledLogNormal" is supported at the moment
20
+ l = 0.80 # Lower bound of base load factor
21
+ u = 1.20 # Upper bound of base load factor
22
+ sigma = 0.20 # Relative (multiplicative) noise level.
23
+
24
+
25
+ [OPF]
26
+
27
+ [OPF.ACOPF]
28
+ type = "ACOPF"
29
+ solver.name = "Ipopt"
30
+ solver.attributes.tol = 1e-6
31
+ solver.attributes.linear_solver = "ma27"
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+
33
+ [OPF.DCOPF]
34
+ # Formulation/solver options
35
+ type = "DCOPF"
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+ solver.name = "HiGHS"
37
+
38
+ [OPF.SOCOPF]
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+ type = "SOCOPF"
40
+ solver.name = "Clarabel"
41
+ # Tight tolerances
42
+ solver.attributes.tol_gap_abs = 1e-6
43
+ solver.attributes.tol_gap_rel = 1e-6
44
+ solver.attributes.tol_feas = 1e-6
45
+ solver.attributes.tol_infeas_rel = 1e-6
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+ solver.attributes.tol_ktratio = 1e-6
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+ # Reduced accuracy settings
48
+ solver.attributes.reduced_tol_gap_abs = 1e-6
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+ solver.attributes.reduced_tol_gap_rel = 1e-6
50
+ solver.attributes.reduced_tol_feas = 1e-6
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+ solver.attributes.reduced_tol_infeas_abs = 1e-6
52
+ solver.attributes.reduced_tol_infeas_rel = 1e-6
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+ solver.attributes.reduced_tol_ktratio = 1e-6
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