Norwegian version
Paal Engelstad

Paal Engelstad

Fields of study

Academic disciplines

Communication and distributed systems   Security and vulnerability

Countries

Norway

Scientific publications

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. 23 p. Energies. Vol. 16.
https://doi.org/10.3390/en16207179

Rauniyar, Ashish ; Østerbø, Olav; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 18 p. Sensors. Vol. 23.
https://doi.org/10.3390/s23083958

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal E. (2023). Unsupervised State Representation Learning in Partially Observable Atari Games. Tsapatsoulis, Nicolas (Ed.). Computer Analysis of Images and Patterns. CAIP 2023. Springer.
https://doi.org/10.1007/978-3-031-44240-7_21

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E. ; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios; Pimenidis, Elias (Ed.). Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. p. 461-474. Springer Nature.
https://doi.org/10.1007/978-3-031-08223-8_38

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. 13 p. Applied Energy. Vol. 333.
https://doi.org/10.1016/j.apenergy.2022.120565

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Probabilistic Wind Park Power Prediction using Bayesian Deep Learning and Generative Adversarial Networks. 10 p. Journal of Physics: Conference Series (JPCS). Vol. 2362.
https://doi.org/10.1088/1742-6596/2362/1/012005

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2022). Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses. Journal of Physics: Conference Series (JPCS). Vol. 2265.
https://doi.org/10.1088/1742-6596/2265/2/022035

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2022). Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks. 15 p. IEEE Sensors Journal. Vol. 22.
https://doi.org/10.1109/JSEN.2022.3199540

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. 10 p. IEEE Transactions on Games (TG).
https://doi.org/10.1109/TG.2022.3185330

Meng, Li; Yazidi, Anis ; Goodwin, Morten ; Engelstad, Paal (2022). Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. 9 p. Proceedings of the Northern Lights Deep Learning Workshop.
https://doi.org/10.7557/18.6237





These publications are obtained from Cristin. The list may be incomplete