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Evelyn Heylen
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2020 – today
- 2023
- [i3]Jemima Graham, Evelyn Heylen, Yuankai Bian, Fei Teng:
Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area. CoRR abs/2307.07377 (2023) - [i2]Willem Leterme, Evelyn Heylen:
Computationally Efficient Electromagnetic Transient Power System Studies using Bayesian Optimization. CoRR abs/2310.14945 (2023) - 2022
- [j1]Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci:
Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 58: 101525 (2022) - 2020
- [i1]Evelyn Heylen, Goran Strbac, Fei Teng:
Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems. CoRR abs/2008.12692 (2020)
2010 – 2019
- 2018
- [c2]Evelyn Heylen, Marten Ovaere, Dirk Van Hertem, Geert Deconinck:
Fairness of Power System Load-Shedding Plans. SMC 2018: 1404-1409 - 2017
- [c1]Evelyn Heylen, Geert Deconinck, Dirk Van Hertem, Matthias C. M. Troffaes, Behzad Kazemtabrizi:
Qualitative comparison of techniques for evaluating performance of short term power system reliability management. ISGT Europe 2017: 1-6
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