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Olga Zyabkina Master of Engineering
Person

Affiliations

Chair of Electrical Power Supply
- Academic Staff
- olga.zyabkina@tu-dresden.de
Institute of Electrical Power Systems and High Voltage Engineering
- Academic Staff
- olga.zyabkina@tu-dresden.de

Identification of Disturbance Patterns in Long-term Measurements of Power Quality Characteristics in Chinese Large Cities

Zyabkina, O., Domagk, M., Meyer, J., Wang, T., Feng, D. & Huang, W., 21 Sep 2022, (Accepted/In press) CIRED 2022 Shanghai Workshop. 5 p. 0147

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Application of Machine Learning Methods for Recognition of Daily Patterns in Power Quality Time Series

Strunz, E., Zyabkina, O. & Meyer, J., 2022, Proceedings of International Conference on Harmonics and Quality of Power, ICHQP: Power Quality in the Energy Transition. IEEE Computer Society, Washington , (2022 20th International Conference on Harmonics & Quality of Power (ICHQP), Vol. 2022-May).

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Automatic detection of voltage notches using support vector machine

Qi, R., Zyabkina, O., Martinez, D. A. & Meyer, J., 1 Sep 2021, In: Renewable energy & power quality journal. 19, p. 528-533 6 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Anomaly detection in power quality measurements using proximity-based unsupervised machine learning techniques

Punmiya, R., Zyabkina, O., Choe, S. & Meyer, J., 1 Jun 2019, 2019 Electric Power Quality and Supply Reliability Conference and 2019 Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019. Institute of Electrical and Electronics Engineers Inc., (2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM)).

Research output: Contribution to book/conference proceedings/anthology/report › Chapter in book/anthology/report › Contributed › peer-review

A Feature-Based Method for Automatic Anomaly Identification in Power Quality Measurements

Zyabkina, O., Domagk, M., Meyer, J. & Schegner, P., 28 Jun 2018, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE Computational Intelligence Society (CIS), p. 1-6 6 p. 8440460

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

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