Research output per year
Research output per year
Fingerprint
Dive into the research topics where Helen M Sheehan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Deep Reinforcement Learning for Wind Farm Set-Point Optimisation
Sheehan, H. M., Poole, D. J., de Menezes e Silva Filho, T., Bossanyi, E. A. & Landberg, L., 2023.Research output: Contribution to conference › Conference Abstract › peer-review
-
Predicting Linearised Wind Resource Grids using Neural Networks
Sheehan, H. M., Traiger, E., Poole, D. J. & Landberg, L., 1 Oct 2022, In: Journal of Wind Engineering and Industrial Aerodynamics. 229, 105123.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile1 Citation (Scopus)23 Downloads (Pure) -
Predicting Linearised Wind Resource Grids using Convolutional Neural Networks in Style Transfer and Encoder-Decoder Based Architectures
Sheehan, H. M., Traiger, E., Poole, D. J. & Landberg, L., 2021.Research output: Contribution to conference › Conference Abstract › peer-review
Thesis
-
Machine learning for wind flow modelling: using grid-based neural networks to capture wind flow changes over terrain
Author: Sheehan, H. M., 22 Mar 2022Supervisor: Poole, D. (Supervisor) & Harper, P. (Supervisor)
Student thesis: Master's Thesis › Master of Science (MSc)
File