https://github.com/sam-92/power-system-dynamic-security-analysis-integrating-supervised-machine-learning-classification-appro
🌎 I showed how successful Ireland has been so far in terms of accommodating renewable energies within its electricity system and what are the current challenges and needs of its power system ⁉️ 🏭 I briefly talked about the new system services, particularly fast frequency response from commercial demand response units such as data centres, supermarkets, commercial offices etc and how they can be beneficial to integrating more renewables in the power system! ✔️ 👨💻 👷🏽I then talked about machine learning and whether it can take the place of our current frequency stability analysis platform. ✅ The machine learning model could reduce the computational time from 216 hours to less than 1 second by replacing the frequency stability analysis with a classifier to detect "Normal" or "At risk" operating hours. ✅The machine learning framework to deal with the imbalanced dataset from power system dynamic security has been implemented with collaboration of "UCD School of Mathematics and Statistics"
https://github.com/sam-92/power-system-dynamic-security-analysis-integrating-supervised-machine-learning-classification-appro
classification data-augmentation ieee machine-learning smart-energy-data-science
Last synced: about 1 month ago
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🌎 I showed how successful Ireland has been so far in terms of accommodating renewable energies within its electricity system and what are the current challenges and needs of its power system ⁉️ 🏭 I briefly talked about the new system services, particularly fast frequency response from commercial demand response units such as data centres, supermarkets, commercial offices etc and how they can be beneficial to integrating more renewables in the power system! ✔️ 👨💻 👷🏽I then talked about machine learning and whether it can take the place of our current frequency stability analysis platform. ✅ The machine learning model could reduce the computational time from 216 hours to less than 1 second by replacing the frequency stability analysis with a classifier to detect "Normal" or "At risk" operating hours. ✅The machine learning framework to deal with the imbalanced dataset from power system dynamic security has been implemented with collaboration of "UCD School of Mathematics and Statistics"
- Host: GitHub
- URL: https://github.com/sam-92/power-system-dynamic-security-analysis-integrating-supervised-machine-learning-classification-appro
- Owner: SaM-92
- Created: 2022-04-15T15:59:04.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-15T16:05:33.000Z (over 3 years ago)
- Last Synced: 2025-06-17T14:47:18.415Z (4 months ago)
- Topics: classification, data-augmentation, ieee, machine-learning, smart-energy-data-science
- Homepage:
- Size: 1.68 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0