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ML_dev_part2.ipynb
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Jupyter Notebook - 240.4 KB - MD5: aec99d2af4b73cb120944552410a6f16
oil_field_model.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.2 KB - MD5: 3afdf981934adb3916a638c92b3e0ef4
openloop_simulation.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 4.4 KB - MD5: ab8287accb12c0c577c099c750b6910e
Readme.md
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
Markdown Text - 155 B - MD5: 0c05268200c7ad6592a1f7d9edf5d792
update_states.m
Feb 24, 2026 - Replication data for: Assessment of Data-Driven Techniques for Flow Rate Predictions in Sub-sea Oil Production
MATLAB Source Code - 319 B - MD5: 22c8cc35407cf3e6460003bceedc8911
00_ReadMe.txt
Feb 24, 2026 - Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
Plain Text - 3.4 KB - MD5: dbfc3c3b6015107309c71c89a07b6dcc
DataFile.pdf
Feb 24, 2026 - Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
Adobe PDF - 626.5 KB - MD5: 1f3dc4cda3f8cf07b511f22967cf4f43
00_ReadMe.md
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Markdown Text - 5.8 KB - MD5: 1100ca3456432e3de7660367408bf319
Description of the dataset.
00_ReadMe.txt
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Plain Text - 6.5 KB - MD5: e5cab828e3e375849aec71ffd9f6c8a6
Description of the dataset.
main.py
Feb 24, 2026 - Python scripts for Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation.
Python Source Code - 14.2 KB - MD5: d69365b0d4241ba0018aae90f31927d5
Main script file
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