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Evaluate My PhD Thesis Research Load Disaggregation Algorithms -- Copyright (C) 2013-2014, by Stephen Makonin.
Process commandline args...
test_id = ENEF
dataset = ./Datasets/AMPds_1min_A.csv
units = A
precision = 1.0
denoised = True
model_noise = False
folds = 10
max_states = 8
emissions_type = discrete
reverse = False
all_loads = False
loads = BME,CDE,CWE,DWE,FGE,FRE,GRE,HPE,OFE,TVE,WOE
thread_pool = 1
pmf_test = False
hmm_test = False
no_progress_bar = False
limit = 0
log_probs = False
plot_it = False
logdet = False
Loading ground truth...
Loading file: ./Datasets/AMPds_1min_A.csv
Model whole-house meter noise = False
T = 524544 , M = 11 , N = 201
Load IDs: ['BME', 'CDE', 'CWE', 'DWE', 'FGE', 'FRE', 'GRE', 'HPE', 'OFE', 'TVE', 'WOE']
Proceeding with 10-Fold Cross-Validation...
************************ VALIDATION ROUND: 1 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 412896 |t|
S1: 1: 200, peak= 2, 59190 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463460 |t|
S1: 1: 5, peak= 4, 3428 |t|
S2: 6: 200, peak= 39, 5198 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462437 |t|
S1: 1: 3, peak= 1, 8117 |t|
S2: 4: 200, peak= 5, 1532 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461715 |t|
S1: 1: 2, peak= 1, 1917 |t|
S2: 3: 200, peak= 6, 8454 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 299700 |t|
S1: 1: 1, peak= 1, 170421 |t|
S2: 2: 200, peak= 3, 1965 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 610 |t|
S1: 1: 2, peak= 1, 468724 |t|
S2: 3: 200, peak= 4, 2752 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471782 |t|
S1: 1: 200, peak= 1, 304 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 433457 |t|
S1: 1: 16, peak= 15, 35882 |t|
S2: 17: 200, peak= 20, 2747 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 452905 |t|
S1: 1: 200, peak= 1, 19181 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 429569 |t|
S1: 1: 200, peak= 1, 42517 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470504 |t|
S1: 1: 2, peak= 1, 775 |t|
S2: 3: 22, peak= 22, 231 |t|
S3: 23: 25, peak= 24, 244 |t|
S4: 26: 200, peak= 30, 332 |t|
Km = [2, 3, 3, 3, 3, 3, 2, 3, 2, 2, 5] , K = 58320 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 58320 (a sum of 31 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 3401222400 , non-zero = 2516 , empty rows = 57852 )
B[][]: 99.49 % sparse ( size = 11722320 , non-zero = 59203 , empty rows = 57852 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 255280 from 27209779200 Bytes)
B[][]: Compress down to 99.25 % (size 707708 from 93778560 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 1/10: [= ], Disagg rate: 0.012082 sec/sample Completed 1/10: [== ], Disagg rate: 0.012023 sec/sample Completed 1/10: [=== ], Disagg rate: 0.011995 sec/sample Completed 1/10: [==== ], Disagg rate: 0.011972 sec/sample Completed 1/10: [===== ], Disagg rate: 0.011946 sec/sample Completed 1/10: [====== ], Disagg rate: 0.011935 sec/sample Completed 1/10: [======= ], Disagg rate: 0.011930 sec/sample Completed 1/10: [======== ], Disagg rate: 0.011948 sec/sample Completed 1/10: [========= ], Disagg rate: 0.011950 sec/sample Completed 1/10: [========== ], Disagg rate: 0.011959 sec/sample Completed 1/10: [=========== ], Disagg rate: 0.011958 sec/sample Completed 1/10: [============ ], Disagg rate: 0.011951 sec/sample Completed 1/10: [============= ], Disagg rate: 0.011948 sec/sample Completed 1/10: [============== ], Disagg rate: 0.011947 sec/sample Completed 1/10: [=============== ], Disagg rate: 0.011941 sec/sample Completed 1/10: [================ ], Disagg rate: 0.011951 sec/sample Completed 1/10: [================= ], Disagg rate: 0.011949 sec/sample Completed 1/10: [================== ], Disagg rate: 0.011941 sec/sample Completed 1/10: [=================== ], Disagg rate: 0.011946 sec/sample Completed 1/10: [====================], Disagg rate: 0.011943 sec/sample Completed 1/10: [=====================], Disagg rate: 0.011942 sec/sample
************************ VALIDATION ROUND: 2 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 414080 |t|
S1: 1: 200, peak= 2, 58006 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463803 |t|
S1: 1: 5, peak= 4, 3208 |t|
S2: 6: 200, peak= 39, 5075 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462789 |t|
S1: 1: 3, peak= 1, 7816 |t|
S2: 4: 200, peak= 5, 1481 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461748 |t|
S1: 1: 2, peak= 1, 1898 |t|
S2: 3: 4, peak= 4, 127 |t|
S3: 5: 200, peak= 6, 8313 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 301021 |t|
S1: 1: 1, peak= 1, 169112 |t|
S2: 2: 200, peak= 3, 1953 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 615 |t|
S1: 1: 2, peak= 1, 468679 |t|
S2: 3: 200, peak= 4, 2792 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471801 |t|
S1: 1: 200, peak= 1, 285 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 426417 |t|
S1: 1: 16, peak= 15, 42878 |t|
S2: 17: 200, peak= 20, 2791 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 454829 |t|
S1: 1: 200, peak= 1, 17257 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 428534 |t|
S1: 1: 200, peak= 1, 43552 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470315 |t|
S1: 1: 2, peak= 1, 860 |t|
S2: 3: 22, peak= 22, 274 |t|
S3: 23: 25, peak= 24, 239 |t|
S4: 26: 200, peak= 30, 398 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2582 , empty rows = 77273 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78664 , empty rows = 77273 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333644 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941156 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 2/10: [= ], Disagg rate: 0.012130 sec/sample Completed 2/10: [== ], Disagg rate: 0.012301 sec/sample Completed 2/10: [=== ], Disagg rate: 0.012449 sec/sample Completed 2/10: [==== ], Disagg rate: 0.012583 sec/sample Completed 2/10: [===== ], Disagg rate: 0.012715 sec/sample Completed 2/10: [====== ], Disagg rate: 0.012831 sec/sample Completed 2/10: [======= ], Disagg rate: 0.012944 sec/sample Completed 2/10: [======== ], Disagg rate: 0.013052 sec/sample Completed 2/10: [========= ], Disagg rate: 0.013153 sec/sample Completed 2/10: [========== ], Disagg rate: 0.013241 sec/sample Completed 2/10: [=========== ], Disagg rate: 0.013333 sec/sample Completed 2/10: [============ ], Disagg rate: 0.013415 sec/sample Completed 2/10: [============= ], Disagg rate: 0.013488 sec/sample Completed 2/10: [============== ], Disagg rate: 0.013554 sec/sample Completed 2/10: [=============== ], Disagg rate: 0.013615 sec/sample Completed 2/10: [================ ], Disagg rate: 0.013676 sec/sample Completed 2/10: [================= ], Disagg rate: 0.013735 sec/sample Completed 2/10: [================== ], Disagg rate: 0.013792 sec/sample Completed 2/10: [=================== ], Disagg rate: 0.013842 sec/sample Completed 2/10: [====================], Disagg rate: 0.013891 sec/sample Completed 2/10: [=====================], Disagg rate: 0.013891 sec/sample
************************ VALIDATION ROUND: 3 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 415048 |t|
S1: 1: 200, peak= 2, 57038 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463460 |t|
S1: 1: 5, peak= 4, 3341 |t|
S2: 6: 200, peak= 39, 5285 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462588 |t|
S1: 1: 3, peak= 1, 7998 |t|
S2: 4: 200, peak= 5, 1500 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461387 |t|
S1: 1: 2, peak= 1, 1969 |t|
S2: 3: 4, peak= 4, 154 |t|
S3: 5: 200, peak= 6, 8576 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 302791 |t|
S1: 1: 1, peak= 1, 167359 |t|
S2: 2: 200, peak= 3, 1936 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 298 |t|
S1: 1: 2, peak= 1, 469005 |t|
S2: 3: 200, peak= 4, 2783 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471772 |t|
S1: 1: 200, peak= 1, 314 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 425901 |t|
S1: 1: 16, peak= 15, 43404 |t|
S2: 17: 200, peak= 20, 2781 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 452428 |t|
S1: 1: 200, peak= 1, 19658 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 428177 |t|
S1: 1: 200, peak= 1, 43909 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470441 |t|
S1: 1: 2, peak= 1, 779 |t|
S2: 3: 22, peak= 22, 246 |t|
S3: 23: 25, peak= 24, 224 |t|
S4: 26: 200, peak= 30, 396 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2587 , empty rows = 77278 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78658 , empty rows = 77278 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333664 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941108 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 3/10: [= ], Disagg rate: 0.013935 sec/sample Completed 3/10: [== ], Disagg rate: 0.013974 sec/sample Completed 3/10: [=== ], Disagg rate: 0.014013 sec/sample Completed 3/10: [==== ], Disagg rate: 0.014053 sec/sample Completed 3/10: [===== ], Disagg rate: 0.014091 sec/sample Completed 3/10: [====== ], Disagg rate: 0.014130 sec/sample Completed 3/10: [======= ], Disagg rate: 0.014166 sec/sample Completed 3/10: [======== ], Disagg rate: 0.014205 sec/sample Completed 3/10: [========= ], Disagg rate: 0.014242 sec/sample Completed 3/10: [========== ], Disagg rate: 0.014273 sec/sample Completed 3/10: [=========== ], Disagg rate: 0.014300 sec/sample Completed 3/10: [============ ], Disagg rate: 0.014330 sec/sample Completed 3/10: [============= ], Disagg rate: 0.014358 sec/sample Completed 3/10: [============== ], Disagg rate: 0.014384 sec/sample Completed 3/10: [=============== ], Disagg rate: 0.014409 sec/sample Completed 3/10: [================ ], Disagg rate: 0.014432 sec/sample Completed 3/10: [================= ], Disagg rate: 0.014456 sec/sample Completed 3/10: [================== ], Disagg rate: 0.014482 sec/sample Completed 3/10: [=================== ], Disagg rate: 0.014503 sec/sample Completed 3/10: [====================], Disagg rate: 0.014524 sec/sample Completed 3/10: [=====================], Disagg rate: 0.014523 sec/sample
************************ VALIDATION ROUND: 4 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 411909 |t|
S1: 1: 200, peak= 2, 60177 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463009 |t|
S1: 1: 5, peak= 4, 3524 |t|
S2: 6: 200, peak= 39, 5553 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462629 |t|
S1: 1: 3, peak= 1, 7937 |t|
S2: 4: 200, peak= 5, 1520 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461732 |t|
S1: 1: 2, peak= 1, 1856 |t|
S2: 3: 4, peak= 4, 152 |t|
S3: 5: 200, peak= 6, 8346 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 305165 |t|
S1: 1: 1, peak= 1, 165036 |t|
S2: 2: 200, peak= 3, 1885 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 608 |t|
S1: 1: 2, peak= 1, 469079 |t|
S2: 3: 200, peak= 4, 2399 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471837 |t|
S1: 1: 200, peak= 1, 249 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 426983 |t|
S1: 1: 16, peak= 15, 42700 |t|
S2: 17: 200, peak= 20, 2403 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 453705 |t|
S1: 1: 200, peak= 1, 18381 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 429499 |t|
S1: 1: 200, peak= 1, 42587 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470473 |t|
S1: 1: 2, peak= 1, 742 |t|
S2: 3: 22, peak= 22, 245 |t|
S3: 23: 25, peak= 24, 230 |t|
S4: 26: 200, peak= 30, 396 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2590 , empty rows = 77278 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78651 , empty rows = 77278 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333688 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941052 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 4/10: [= ], Disagg rate: 0.014544 sec/sample Completed 4/10: [== ], Disagg rate: 0.014562 sec/sample Completed 4/10: [=== ], Disagg rate: 0.014578 sec/sample Completed 4/10: [==== ], Disagg rate: 0.014596 sec/sample Completed 4/10: [===== ], Disagg rate: 0.014614 sec/sample Completed 4/10: [====== ], Disagg rate: 0.014629 sec/sample Completed 4/10: [======= ], Disagg rate: 0.014646 sec/sample Completed 4/10: [======== ], Disagg rate: 0.014662 sec/sample Completed 4/10: [========= ], Disagg rate: 0.014677 sec/sample Completed 4/10: [========== ], Disagg rate: 0.014697 sec/sample Completed 4/10: [=========== ], Disagg rate: 0.014711 sec/sample Completed 4/10: [============ ], Disagg rate: 0.014726 sec/sample Completed 4/10: [============= ], Disagg rate: 0.014742 sec/sample Completed 4/10: [============== ], Disagg rate: 0.014759 sec/sample Completed 4/10: [=============== ], Disagg rate: 0.014778 sec/sample Completed 4/10: [================ ], Disagg rate: 0.014794 sec/sample Completed 4/10: [================= ], Disagg rate: 0.014813 sec/sample Completed 4/10: [================== ], Disagg rate: 0.014828 sec/sample Completed 4/10: [=================== ], Disagg rate: 0.014837 sec/sample Completed 4/10: [====================], Disagg rate: 0.014848 sec/sample Completed 4/10: [=====================], Disagg rate: 0.014847 sec/sample
************************ VALIDATION ROUND: 5 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 409426 |t|
S1: 1: 200, peak= 2, 62660 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463491 |t|
S1: 1: 5, peak= 4, 3365 |t|
S2: 6: 200, peak= 39, 5230 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462540 |t|
S1: 1: 3, peak= 1, 8029 |t|
S2: 4: 200, peak= 5, 1517 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461484 |t|
S1: 1: 2, peak= 1, 1933 |t|
S2: 3: 4, peak= 4, 153 |t|
S3: 5: 200, peak= 6, 8516 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 302780 |t|
S1: 1: 1, peak= 1, 167365 |t|
S2: 2: 200, peak= 3, 1941 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 612 |t|
S1: 1: 2, peak= 1, 468634 |t|
S2: 3: 200, peak= 4, 2840 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471776 |t|
S1: 1: 200, peak= 1, 310 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 424791 |t|
S1: 1: 16, peak= 15, 44457 |t|
S2: 17: 200, peak= 20, 2838 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 454420 |t|
S1: 1: 200, peak= 1, 17666 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 426748 |t|
S1: 1: 200, peak= 1, 45338 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470443 |t|
S1: 1: 2, peak= 1, 780 |t|
S2: 3: 22, peak= 22, 254 |t|
S3: 23: 25, peak= 24, 225 |t|
S4: 26: 200, peak= 30, 384 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2625 , empty rows = 77276 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78701 , empty rows = 77276 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333976 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941452 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 5/10: [= ], Disagg rate: 0.014862 sec/sample Completed 5/10: [== ], Disagg rate: 0.014875 sec/sample Completed 5/10: [=== ], Disagg rate: 0.014886 sec/sample Completed 5/10: [==== ], Disagg rate: 0.014896 sec/sample Completed 5/10: [===== ], Disagg rate: 0.014907 sec/sample Completed 5/10: [====== ], Disagg rate: 0.014915 sec/sample Completed 5/10: [======= ], Disagg rate: 0.014925 sec/sample Completed 5/10: [======== ], Disagg rate: 0.014934 sec/sample Completed 5/10: [========= ], Disagg rate: 0.014942 sec/sample Completed 5/10: [========== ], Disagg rate: 0.014951 sec/sample Completed 5/10: [=========== ], Disagg rate: 0.014958 sec/sample Completed 5/10: [============ ], Disagg rate: 0.014964 sec/sample Completed 5/10: [============= ], Disagg rate: 0.014973 sec/sample Completed 5/10: [============== ], Disagg rate: 0.014981 sec/sample Completed 5/10: [=============== ], Disagg rate: 0.014991 sec/sample Completed 5/10: [================ ], Disagg rate: 0.015001 sec/sample Completed 5/10: [================= ], Disagg rate: 0.015008 sec/sample Completed 5/10: [================== ], Disagg rate: 0.015014 sec/sample Completed 5/10: [=================== ], Disagg rate: 0.015020 sec/sample Completed 5/10: [====================], Disagg rate: 0.015027 sec/sample Completed 5/10: [=====================], Disagg rate: 0.015027 sec/sample
************************ VALIDATION ROUND: 6 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 410926 |t|
S1: 1: 200, peak= 2, 61160 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463574 |t|
S1: 1: 5, peak= 4, 3316 |t|
S2: 6: 200, peak= 39, 5196 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462493 |t|
S1: 1: 3, peak= 1, 8074 |t|
S2: 4: 200, peak= 5, 1519 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461365 |t|
S1: 1: 2, peak= 1, 1956 |t|
S2: 3: 4, peak= 4, 154 |t|
S3: 5: 200, peak= 6, 8611 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 300456 |t|
S1: 1: 1, peak= 1, 169694 |t|
S2: 2: 200, peak= 3, 1936 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 381 |t|
S1: 1: 2, peak= 1, 468991 |t|
S2: 3: 200, peak= 4, 2714 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471792 |t|
S1: 1: 200, peak= 1, 294 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 430153 |t|
S1: 1: 16, peak= 15, 39222 |t|
S2: 17: 200, peak= 20, 2711 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 453878 |t|
S1: 1: 200, peak= 1, 18208 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 427609 |t|
S1: 1: 200, peak= 1, 44477 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470299 |t|
S1: 1: 2, peak= 1, 854 |t|
S2: 3: 22, peak= 22, 277 |t|
S3: 23: 25, peak= 24, 249 |t|
S4: 26: 200, peak= 30, 407 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2639 , empty rows = 77264 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78676 , empty rows = 77264 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 334136 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941252 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 6/10: [= ], Disagg rate: 0.015033 sec/sample Completed 6/10: [== ], Disagg rate: 0.015040 sec/sample Completed 6/10: [=== ], Disagg rate: 0.015045 sec/sample Completed 6/10: [==== ], Disagg rate: 0.015052 sec/sample Completed 6/10: [===== ], Disagg rate: 0.015059 sec/sample Completed 6/10: [====== ], Disagg rate: 0.015065 sec/sample Completed 6/10: [======= ], Disagg rate: 0.015071 sec/sample Completed 6/10: [======== ], Disagg rate: 0.015078 sec/sample Completed 6/10: [========= ], Disagg rate: 0.015085 sec/sample Completed 6/10: [========== ], Disagg rate: 0.015091 sec/sample Completed 6/10: [=========== ], Disagg rate: 0.015096 sec/sample Completed 6/10: [============ ], Disagg rate: 0.015104 sec/sample Completed 6/10: [============= ], Disagg rate: 0.015112 sec/sample Completed 6/10: [============== ], Disagg rate: 0.015121 sec/sample Completed 6/10: [=============== ], Disagg rate: 0.015128 sec/sample Completed 6/10: [================ ], Disagg rate: 0.015134 sec/sample Completed 6/10: [================= ], Disagg rate: 0.015141 sec/sample Completed 6/10: [================== ], Disagg rate: 0.015146 sec/sample Completed 6/10: [=================== ], Disagg rate: 0.015152 sec/sample Completed 6/10: [====================], Disagg rate: 0.015155 sec/sample Completed 6/10: [=====================], Disagg rate: 0.015155 sec/sample
************************ VALIDATION ROUND: 7 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 411416 |t|
S1: 1: 200, peak= 2, 60670 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463520 |t|
S1: 1: 5, peak= 4, 3345 |t|
S2: 6: 200, peak= 39, 5221 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462320 |t|
S1: 1: 3, peak= 1, 8224 |t|
S2: 4: 200, peak= 5, 1542 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461572 |t|
S1: 1: 1, peak= 1, 1934 |t|
S2: 2: 4, peak= 4, 154 |t|
S3: 5: 200, peak= 6, 8426 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 298815 |t|
S1: 1: 1, peak= 1, 171265 |t|
S2: 2: 200, peak= 3, 2006 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 607 |t|
S1: 1: 2, peak= 1, 469456 |t|
S2: 3: 200, peak= 4, 2023 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471798 |t|
S1: 1: 200, peak= 1, 288 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 436404 |t|
S1: 1: 16, peak= 15, 33654 |t|
S2: 17: 200, peak= 20, 2028 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 455407 |t|
S1: 1: 200, peak= 1, 16679 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 428199 |t|
S1: 1: 200, peak= 1, 43887 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470361 |t|
S1: 1: 2, peak= 1, 825 |t|
S2: 3: 22, peak= 22, 273 |t|
S3: 23: 25, peak= 24, 236 |t|
S4: 26: 200, peak= 30, 391 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 2, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2552 , empty rows = 77276 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78661 , empty rows = 77276 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333392 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941132 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 7/10: [= ], Disagg rate: 0.015161 sec/sample Completed 7/10: [== ], Disagg rate: 0.015167 sec/sample Completed 7/10: [=== ], Disagg rate: 0.015173 sec/sample Completed 7/10: [==== ], Disagg rate: 0.015180 sec/sample Completed 7/10: [===== ], Disagg rate: 0.015185 sec/sample Completed 7/10: [====== ], Disagg rate: 0.015190 sec/sample Completed 7/10: [======= ], Disagg rate: 0.015196 sec/sample Completed 7/10: [======== ], Disagg rate: 0.015201 sec/sample Completed 7/10: [========= ], Disagg rate: 0.015207 sec/sample Completed 7/10: [========== ], Disagg rate: 0.015211 sec/sample Completed 7/10: [=========== ], Disagg rate: 0.015217 sec/sample Completed 7/10: [============ ], Disagg rate: 0.015220 sec/sample Completed 7/10: [============= ], Disagg rate: 0.015226 sec/sample Completed 7/10: [============== ], Disagg rate: 0.015229 sec/sample Completed 7/10: [=============== ], Disagg rate: 0.015234 sec/sample Completed 7/10: [================ ], Disagg rate: 0.015239 sec/sample Completed 7/10: [================= ], Disagg rate: 0.015243 sec/sample Completed 7/10: [================== ], Disagg rate: 0.015247 sec/sample Completed 7/10: [=================== ], Disagg rate: 0.015251 sec/sample Completed 7/10: [====================], Disagg rate: 0.015254 sec/sample Completed 7/10: [=====================], Disagg rate: 0.015254 sec/sample
************************ VALIDATION ROUND: 8 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 411557 |t|
S1: 1: 200, peak= 2, 60529 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463650 |t|
S1: 1: 5, peak= 4, 3324 |t|
S2: 6: 200, peak= 39, 5112 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462681 |t|
S1: 1: 3, peak= 1, 7909 |t|
S2: 4: 200, peak= 5, 1496 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461798 |t|
S1: 1: 1, peak= 1, 1873 |t|
S2: 2: 4, peak= 4, 156 |t|
S3: 5: 200, peak= 6, 8259 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 299093 |t|
S1: 1: 1, peak= 1, 170986 |t|
S2: 2: 200, peak= 3, 2007 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 603 |t|
S1: 1: 2, peak= 1, 468944 |t|
S2: 3: 200, peak= 4, 2539 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471807 |t|
S1: 1: 200, peak= 1, 279 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 428023 |t|
S1: 1: 16, peak= 15, 41523 |t|
S2: 17: 200, peak= 20, 2540 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 451446 |t|
S1: 1: 200, peak= 1, 20640 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 427885 |t|
S1: 1: 200, peak= 1, 44201 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470530 |t|
S1: 1: 3, peak= 1, 708 |t|
S2: 4: 22, peak= 22, 200 |t|
S3: 23: 25, peak= 24, 260 |t|
S4: 26: 200, peak= 30, 388 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 2, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 4, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2599 , empty rows = 77266 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78677 , empty rows = 77266 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333808 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941260 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 8/10: [= ], Disagg rate: 0.015258 sec/sample Completed 8/10: [== ], Disagg rate: 0.015261 sec/sample Completed 8/10: [=== ], Disagg rate: 0.015263 sec/sample Completed 8/10: [==== ], Disagg rate: 0.015266 sec/sample Completed 8/10: [===== ], Disagg rate: 0.015270 sec/sample Completed 8/10: [====== ], Disagg rate: 0.015273 sec/sample Completed 8/10: [======= ], Disagg rate: 0.015277 sec/sample Completed 8/10: [======== ], Disagg rate: 0.015280 sec/sample Completed 8/10: [========= ], Disagg rate: 0.015284 sec/sample Completed 8/10: [========== ], Disagg rate: 0.015288 sec/sample Completed 8/10: [=========== ], Disagg rate: 0.015291 sec/sample Completed 8/10: [============ ], Disagg rate: 0.015293 sec/sample Completed 8/10: [============= ], Disagg rate: 0.015295 sec/sample Completed 8/10: [============== ], Disagg rate: 0.015298 sec/sample Completed 8/10: [=============== ], Disagg rate: 0.015301 sec/sample Completed 8/10: [================ ], Disagg rate: 0.015306 sec/sample Completed 8/10: [================= ], Disagg rate: 0.015308 sec/sample Completed 8/10: [================== ], Disagg rate: 0.015311 sec/sample Completed 8/10: [=================== ], Disagg rate: 0.015314 sec/sample Completed 8/10: [====================], Disagg rate: 0.015316 sec/sample Completed 8/10: [=====================], Disagg rate: 0.015316 sec/sample
************************ VALIDATION ROUND: 9 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 415060 |t|
S1: 1: 200, peak= 2, 57026 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463589 |t|
S1: 1: 5, peak= 4, 3290 |t|
S2: 6: 200, peak= 39, 5207 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462428 |t|
S1: 1: 3, peak= 1, 8129 |t|
S2: 4: 200, peak= 5, 1529 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461865 |t|
S1: 1: 2, peak= 1, 1893 |t|
S2: 3: 4, peak= 4, 154 |t|
S3: 5: 200, peak= 6, 8174 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 299171 |t|
S1: 1: 1, peak= 1, 170932 |t|
S2: 2: 200, peak= 3, 1983 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 612 |t|
S1: 1: 2, peak= 1, 469182 |t|
S2: 3: 200, peak= 4, 2292 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471805 |t|
S1: 1: 200, peak= 1, 281 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 432394 |t|
S1: 1: 16, peak= 15, 37395 |t|
S2: 17: 200, peak= 20, 2297 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 451049 |t|
S1: 1: 200, peak= 1, 21037 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 430339 |t|
S1: 1: 200, peak= 1, 41747 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470377 |t|
S1: 1: 2, peak= 1, 808 |t|
S2: 3: 22, peak= 22, 252 |t|
S3: 23: 25, peak= 24, 248 |t|
S4: 26: 200, peak= 30, 401 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2612 , empty rows = 77265 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78665 , empty rows = 77265 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333916 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941164 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 9/10: [= ], Disagg rate: 0.015321 sec/sample Completed 9/10: [== ], Disagg rate: 0.015325 sec/sample Completed 9/10: [=== ], Disagg rate: 0.015329 sec/sample Completed 9/10: [==== ], Disagg rate: 0.015332 sec/sample Completed 9/10: [===== ], Disagg rate: 0.015335 sec/sample Completed 9/10: [====== ], Disagg rate: 0.015338 sec/sample Completed 9/10: [======= ], Disagg rate: 0.015340 sec/sample Completed 9/10: [======== ], Disagg rate: 0.015344 sec/sample Completed 9/10: [========= ], Disagg rate: 0.015347 sec/sample Completed 9/10: [========== ], Disagg rate: 0.015350 sec/sample Completed 9/10: [=========== ], Disagg rate: 0.015354 sec/sample Completed 9/10: [============ ], Disagg rate: 0.015356 sec/sample Completed 9/10: [============= ], Disagg rate: 0.015359 sec/sample Completed 9/10: [============== ], Disagg rate: 0.015361 sec/sample Completed 9/10: [=============== ], Disagg rate: 0.015363 sec/sample Completed 9/10: [================ ], Disagg rate: 0.015367 sec/sample Completed 9/10: [================= ], Disagg rate: 0.015370 sec/sample Completed 9/10: [================== ], Disagg rate: 0.015372 sec/sample Completed 9/10: [=================== ], Disagg rate: 0.015375 sec/sample Completed 9/10: [====================], Disagg rate: 0.015379 sec/sample Completed 9/10: [=====================], Disagg rate: 0.015379 sec/sample
************************ VALIDATION ROUND: 10 ************************
Building priors and testing datasets...
Creating PMFs and states...
Priors data size is 472086
Creating PMFs for: BME... CDE... CWE... DWE... FGE... FRE... GRE... HPE... OFE... TVE... WOE...
Finding load states...
Max partitions per load = 8
Partition PMF: BME , epsilon = 0.00021
S0: 0: 0, peak= 0, 417809 |t|
S1: 1: 200, peak= 2, 54277 |t|
Partition PMF: CDE , epsilon = 0.00021
S0: 0: 0, peak= 0, 463957 |t|
S1: 1: 5, peak= 4, 3150 |t|
S2: 6: 200, peak= 39, 4979 |t|
Partition PMF: CWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 462852 |t|
S1: 1: 3, peak= 1, 7759 |t|
S2: 4: 200, peak= 5, 1475 |t|
Partition PMF: DWE , epsilon = 0.00021
S0: 0: 0, peak= 0, 461956 |t|
S1: 1: 2, peak= 1, 1857 |t|
S2: 3: 4, peak= 4, 153 |t|
S3: 5: 200, peak= 6, 8120 |t|
Partition PMF: FGE , epsilon = 0.00021
S0: 0: 0, peak= 0, 300266 |t|
S1: 1: 1, peak= 1, 169848 |t|
S2: 2: 200, peak= 3, 1972 |t|
Partition PMF: FRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 616 |t|
S1: 1: 2, peak= 1, 469044 |t|
S2: 3: 200, peak= 4, 2426 |t|
Partition PMF: GRE , epsilon = 0.00021
S0: 0: 0, peak= 0, 471819 |t|
S1: 1: 200, peak= 1, 267 |t|
Partition PMF: HPE , epsilon = 0.00021
S0: 0: 0, peak= 0, 430682 |t|
S1: 1: 16, peak= 15, 38998 |t|
S2: 17: 200, peak= 20, 2406 |t|
Partition PMF: OFE , epsilon = 0.00021
S0: 0: 0, peak= 0, 451082 |t|
S1: 1: 200, peak= 1, 21004 |t|
Partition PMF: TVE , epsilon = 0.00021
S0: 0: 0, peak= 0, 430114 |t|
S1: 1: 200, peak= 1, 41972 |t|
Partition PMF: WOE , epsilon = 0.00021
S0: 0: 0, peak= 0, 470350 |t|
S1: 1: 2, peak= 1, 835 |t|
S2: 3: 22, peak= 22, 258 |t|
S3: 23: 25, peak= 24, 239 |t|
S4: 26: 200, peak= 30, 404 |t|
Km = [2, 3, 3, 4, 3, 3, 2, 3, 2, 2, 5] , K = 77760 super-states
Ybounds = [[0, 1, 201], [0, 1, 6, 201], [0, 1, 4, 201], [0, 1, 3, 5, 201], [0, 1, 2, 201], [0, 1, 3, 201], [0, 1, 201], [0, 1, 17, 201], [0, 1, 201], [0, 1, 201], [0, 1, 3, 23, 26, 201]]
Ypeaks = [[0, 2], [0, 4, 39], [0, 1, 5], [0, 1, 4, 6], [0, 1, 3], [0, 1, 4], [0, 1], [0, 15, 20], [0, 1], [0, 1], [0, 1, 22, 24, 30]]
Creating SS-HMM...
Number of super-states: 77760 (a sum of 32 states) for 11 loads.
Normalize matrices: P0[], A[][], B[][]
Sparsity Metrics:
A[][]: 100.0 % sparse ( size = 6046617600 , non-zero = 2551 , empty rows = 77275 )
B[][]: 99.5 % sparse ( size = 15629760 , non-zero = 78652 , empty rows = 77275 )
Space Optimization - Matrix Compression:
A[][]: Compress down to 100.0 % (size 333388 from 48372940800 Bytes)
B[][]: Compress down to 99.25 % (size 941060 from 125038080 Bytes)
Testing Load Disagg...
Testing data size is 52454
Completed 10/10: [= ], Disagg rate: 0.015382 sec/sample Completed 10/10: [== ], Disagg rate: 0.015386 sec/sample Completed 10/10: [=== ], Disagg rate: 0.015388 sec/sample Completed 10/10: [==== ], Disagg rate: 0.015391 sec/sample Completed 10/10: [===== ], Disagg rate: 0.015395 sec/sample Completed 10/10: [====== ], Disagg rate: 0.015397 sec/sample Completed 10/10: [======= ], Disagg rate: 0.015400 sec/sample Completed 10/10: [======== ], Disagg rate: 0.015403 sec/sample Completed 10/10: [========= ], Disagg rate: 0.015405 sec/sample Completed 10/10: [========== ], Disagg rate: 0.015408 sec/sample Completed 10/10: [=========== ], Disagg rate: 0.015410 sec/sample Completed 10/10: [============ ], Disagg rate: 0.015412 sec/sample Completed 10/10: [============= ], Disagg rate: 0.015413 sec/sample Completed 10/10: [============== ], Disagg rate: 0.015416 sec/sample Completed 10/10: [=============== ], Disagg rate: 0.015418 sec/sample Completed 10/10: [================ ], Disagg rate: 0.015421 sec/sample Completed 10/10: [================= ], Disagg rate: 0.015425 sec/sample Completed 10/10: [================== ], Disagg rate: 0.015427 sec/sample Completed 10/10: [=================== ], Disagg rate: 0.015430 sec/sample Completed 10/10: [====================], Disagg rate: 0.015433 sec/sample Completed 10/10: [=====================], Disagg rate: 0.015433 sec/sample
Computational Optimization: 100.0 % saved, 35.12 Million calculations (would have been 3032873.42 Billion)
Unexpected events = 124 , Adapted events = 0 , (errors = 0 )
Disagg time: 0.0154326143 sec/sample, Train Time: 2.47 min, Test Time: 13.9 min, % Noise: 0.0
Classification & Esitmation Accuracies:
Accuracy = 97.28% (15718 incorrect tests)
Precision = 90.46%
Recall = 92.89%
F-Score = 91.66%
M Precision = 86.16%
M Recall = 88.47%
M F-Score = 87.30%
FS Precision = 90.38%
FS Recall = 92.81%
FS F-Score = 91.58%
NDE = 1.18%
RMSE = 4.93
Esitmation = 91.87% (33011 A difference)
|----------|----------|---------|---------|---------|-------------------------------|------------|-------------------|
| | | | | | FINITE-STATE MODIFICATIONS: | | PRECENT OF TOTAL: |
| LOAD ID | ACCURACY | NDE | RMSE | F-SCORE | PRECISION | RECALL | F-SCORE | ESITMATION | EST | TRUTH |
|----------|----------|---------|---------|---------|-----------|---------|---------|------------|---------|---------|
| BME | 96.34% | 6.86% | 0.41 | 85.34% | 85.51% | 85.17% | 85.34% | 83.06% | 6.51% | 6.91% |
| CDE | 99.35% | 5.79% | 0.57 | 79.05% | 93.75% | 68.31% | 79.03% | 96.17% | 11.36% | 11.91% |
| CWE | 97.88% | 79.60% | 0.40 | 12.05% | 35.68% | 6.96% | 11.65% | 46.89% | 0.23% | 1.14% |
| DWE | 98.80% | 22.68% | 0.55 | 73.29% | 71.66% | 74.20% | 72.91% | 76.06% | 3.58% | 2.88% |
| FGE | 88.23% | 12.75% | 0.45 | 84.95% | 79.11% | 91.58% | 84.89% | 82.57% | 11.02% | 9.66% |
| FRE | 99.90% | 2.43% | 0.21 | 99.95% | 99.86% | 99.90% | 99.88% | 98.40% | 26.52% | 26.86% |
| GRE | 99.93% | 92.14% | 0.11 | 0.00% | 0.00% | 0.00% | 0.00% | 46.17% | 0.00% | 0.05% |
| HPE | 99.70% | 0.50% | 0.92 | 98.32% | 98.43% | 97.27% | 97.85% | 97.05% | 35.60% | 35.01% |
| OFE | 94.68% | 24.32% | 0.25 | 26.09% | 29.55% | 23.35% | 26.09% | 34.53% | 0.83% | 1.08% |
| TVE | 95.43% | 9.02% | 0.30 | 77.75% | 70.39% | 86.82% | 77.75% | 68.55% | 2.96% | 3.22% |
| WOE | 99.79% | 6.03% | 0.75 | 68.05% | 75.38% | 61.60% | 67.80% | 75.67% | 1.37% | 1.28% |
|----------|----------|---------|---------|---------|-----------|---------|---------|------------|=========|=========|
| 100.00% | 100.00% |
|---------|---------|
-------------------------------- CSV REPORTING --------------------------------
Test ID, Run Date, Dataset, Units, Precision, Denoised?, Folds, Avg Load States, Super-States, Loads, N, T, A Size, A Non-Zero, A Sparsity, B Size, B Non-Zero, B Sparsity, Total Calc, Actual Calc, Train Time, Test Time, Disagg Time (sec/sample), Unexpected, Adapted, Adapted Errors, Mult-Switches, Noise
ENEF, 2014-07-24 15:57:09.981517, ./Datasets/AMPds_1min_A.csv, A, 1.0, True, 10, 2.9, 77760, 11, 201, 52454, 6046617600, 2551, 1.0, 15629760, 78652, 0.995, 3032873415302400, 35115403, 2.4733, 13.9018, 0.015433, 124, 0, 0, 2629, 0.0
Test ID, Load, Correct, Incorrect, TP, Inacc, APT, ITP, TN, FP, FN, Basic Acc, Precision, Recall, F-Score, M Precision, M Recall, M F-Score, FS Precision, FS Recall, FS F-Score, RMSE, NDE, Est Acc, Estimated, Actual, Diff, Est of Total, Actual of Total
ENEF, *TL, 561248, 15718, 86398, 78.43679999999999, 82280, 4111, 474850, 9108, 6610, 0.9728, 0.9046, 0.9289, 0.9166, 0.8616, 0.8847, 0.873, 0.9038, 0.9281, 0.9158, 4.9293, 0.0118, 0.9187, 200711.9, 203114.3, 33011.8, 1.0, 1.0
ENEF, BME, 50532, 1920, 5590, 0.0, 4710, 879, 44942, 947, 973, 0.9634, 0.8551, 0.8517, 0.8534, 0.7206, 0.7178, 0.7192, 0.8551, 0.8517, 0.8534, 0.4134, 0.0686, 0.8306, 13074.2, 14037.6, 4756.2, 0.0651, 0.0691
ENEF, CDE, 52108, 343, 647, 0.1, 647, 0, 51461, 43, 300, 0.9935, 0.9377, 0.6832, 0.7905, 0.9377, 0.6832, 0.7905, 0.9375, 0.6831, 0.7903, 0.575, 0.0579, 0.9617, 22791.4, 24192.7, 1850.9, 0.1136, 0.1191
ENEF, CWE, 51341, 1110, 76, 2.5, 19, 57, 51265, 130, 980, 0.9788, 0.3689, 0.072, 0.1205, 0.0922, 0.018, 0.0301, 0.3568, 0.0696, 0.1165, 0.4041, 0.796, 0.4689, 471.2, 2309.9, 2453.7, 0.0023, 0.0114
ENEF, DWE, 51822, 629, 863, 4.5167, 845, 17, 50959, 335, 294, 0.988, 0.7204, 0.7459, 0.7329, 0.7059, 0.731, 0.7182, 0.7166, 0.742, 0.7291, 0.5459, 0.2268, 0.7606, 7185.7, 5857.1, 2804.6, 0.0358, 0.0288
ENEF, FGE, 46276, 6175, 17429, 12.9667, 17388, 41, 28847, 4587, 1588, 0.8823, 0.7917, 0.9165, 0.8495, 0.7898, 0.9143, 0.8475, 0.7911, 0.9158, 0.8489, 0.448, 0.1275, 0.8257, 22126.5, 19623.6, 6840.1, 0.1102, 0.0966
ENEF, FRE, 52401, 51, 52376, 35.6667, 50893, 1482, 25, 36, 15, 0.999, 0.9993, 0.9997, 0.9995, 0.971, 0.9714, 0.9712, 0.9986, 0.999, 0.9988, 0.2127, 0.0243, 0.984, 53225.9, 54550.7, 1744.4, 0.2652, 0.2686
ENEF, GRE, 52413, 38, 0, 0.0, 0, 0, 52413, 7, 31, 0.9993, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1102, 0.9214, 0.4617, 7.9, 100.5, 108.2, 0.0, 0.0005
ENEF, HPE, 52294, 158, 4622, 22.2667, 4395, 226, 47672, 51, 107, 0.997, 0.9891, 0.9774, 0.9832, 0.9407, 0.9296, 0.9351, 0.9843, 0.9727, 0.9785, 0.9178, 0.005, 0.9705, 71455.5, 71100.4, 4192.5, 0.356, 0.3501
ENEF, OFE, 49663, 2788, 492, 0.0, 487, 4, 49171, 1173, 1615, 0.9468, 0.2955, 0.2335, 0.2609, 0.2927, 0.2312, 0.2583, 0.2955, 0.2335, 0.2609, 0.2501, 0.2432, 0.3453, 1665.8, 2201.2, 2882.2, 0.0083, 0.0108
ENEF, TVE, 50054, 2398, 4188, 0.0, 2782, 1405, 45866, 1762, 636, 0.9543, 0.7039, 0.8682, 0.7775, 0.4676, 0.5768, 0.5165, 0.7039, 0.8682, 0.7775, 0.3018, 0.0902, 0.6855, 5950.1, 6539.7, 4113.6, 0.0296, 0.0322
ENEF, WOE, 52344, 108, 115, 0.42, 114, 0, 52229, 37, 71, 0.9979, 0.7566, 0.6183, 0.6805, 0.755, 0.6162, 0.6786, 0.7538, 0.616, 0.678, 0.7503, 0.0603, 0.7567, 2757.7, 2600.9, 1265.4, 0.0137, 0.0128
-------------------------------- ------------- --------------------------------
DONE!!!