Research output per year
Research output per year
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Dive into the research topics where Marcus Binder Nilsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
Nilsen, M. B., Quick, J., Göçmen, T., Dimitrov, N. & Réthoré, P.-E., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. 3 ed. IOP Publishing, Vol. 3224. 11 p. 032016. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile87 Downloads (Orbit) -
Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control
Quick, J., Nilsen, M. B., Bechmann, A., Le, T. N. & Réthoré, P.-E. M., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. IOP Publishing, 11 p. 032080. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile36 Downloads (Orbit) -
Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
Åstrand, T., Nilsen, M. B., Tsaklis, I., Göçmen, T., Réthoré, P.-E. & Dimitrov, N., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. IOP Publishing, 11 p. 032065. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Downloads (Orbit) -
Reductions in wind farm main bearing rating lives resulting from wake impingement
Quick, J., Hart, E., Nilsen, M. B., Lund, R. S., Liew, J., Huang, P., Rethore, P.-E., Keller, J., Song, W. & Guo, Y., 2026, In: Wind Energy Science. 11, 2, p. 493-507Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Orbit) -
Reward design for deep Reinforcement Learning driven wind farm control: What matters for optimal performance
Nilsen, M. B., Göçmen, T., Dimitrov, N. & Réthoré, P.-E., 2026, In: Energy and AI. 25, 21 p., 100792.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile8 Downloads (Orbit)
Projects
- 1 Active
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Autonomous Data-driven Wind Farm (Flow) Control
Nilsen, M. B. (PhD Student), Göçmen, T. (Main Supervisor), Dimitrov, N. (Supervisor) & Réthoré, P.-E. M. (Supervisor)
01/03/2024 → 28/02/2027
Project: PhD