- Title
- DECENTRALIZED CONDITION MONITORING FOR DISTRIBUTED WIND SYSTEMS: A FEDERATED LEARNING-BASED APPROACH TO ENHANCE SCADA DATA PRIVACY
- Creators
- Gang Li - Mississippi State UniversityYusen Wu - University of MiamiYelena Yesha - University of Miami
- Publication Details
- Proceedings of ASME 2024 18th International Conference on Energy Sustainability, ES 2024, V001T01A010
- Grant note
- 2329791 / National Natural Science Foundation of China (501100001809) National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001) 2329791 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001)
- Academic Unit
- College of A&S; Institute for Data Science and Computing; Institute for Data Science and Computing; A&S - Computer Science
- Language
- English
- Resource Type
- Conference proceeding
- Record Identifier
- 991032795996102976
Conference proceeding
DECENTRALIZED CONDITION MONITORING FOR DISTRIBUTED WIND SYSTEMS: A FEDERATED LEARNING-BASED APPROACH TO ENHANCE SCADA DATA PRIVACY
Proceedings of ASME 2024 18th International Conference on Energy Sustainability, ES 2024, V001T01A010
2024
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