Hydrogen and the decarbonization of the energy system in Europe in 2050: A detailed model-based analysis GS Seck, E Hache, J Sabathier, F Guedes, GA Reigstad, J Straus, ... Renewable and Sustainable Energy Reviews 167, 112779, 2022 | 79 | 2022 |
Wind farm control‐Part I: A review on control system concepts and structures LE Andersson, O Anaya‐Lara, JO Tande, KO Merz, L Imsland IET Renewable Power Generation 15 (10), 2085-2108, 2021 | 58 | 2021 |
On Kalman filtering with linear state equality constraints LE Andersson, L Imsland, EF Brekke, F Scibilia Automatica 101, 467-470, 2019 | 24 | 2019 |
An estimation-forecast set-up for iceberg drift prediction LE Andersson, F Scibilia, L Imsland Cold Regions Science and Technology 131, 88-107, 2016 | 22 | 2016 |
Data driven filtering of bowel sounds using multivariate empirical mode decomposition K Kölle, MF Aftab, LE Andersson, AL Fougner, Ø Stavdahl BioMedical Engineering OnLine 18, 1-20, 2019 | 19 | 2019 |
Real-time optimization of wind farms using modifier adaptation and machine learning LE Andersson, L Imsland Wind Energy Science Discussions 2020, 1-17, 2020 | 18 | 2020 |
Thermal energy storage for increased waste heat recovery at a silicon production plant in Norway D Rohde, A Beck, P Wilpert, S Dusek, MK Windfeldt, LE Andersson Applied Thermal Engineering 215, 118909, 2022 | 10 | 2022 |
Forecasting using multivariate empirical mode decomposition—Applied to iceberg drift forecast LE Andersson, MF Aftab, F Scibilia, L Imsland 2017 IEEE Conference on Control Technology and Applications (CCTA), 1097-1103, 2017 | 10 | 2017 |
Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D Van Der Hoek, B Doekemeijer, LE Andersson, JW van Wingerden Journal of Physics: Conference Series 1618 (2), 022024, 2020 | 8 | 2020 |
Adaptation of engineering wake models using gaussian process regression and high-fidelity simulation data LE Andersson, B Doekemeijer, D Van Der Hoek, JW van Wingerden, ... Journal of Physics: Conference Series 1618 (2), 022043, 2020 | 7 | 2020 |
An iceberg forecast approach based on a statistical ocean current model LE Andersson, F Scibilia, L Imsland Cold regions science and technology 158, 128-142, 2019 | 7 | 2019 |
Distributed learning for wind farm optimization with Gaussian processes* LE Andersson, EC Bradford, L Imsland 2020 American Control Conference (ACC), 4058-4064, 2020 | 6 | 2020 |
Comparison of statistical iceberg forecast models LE Andersson, F Scibilia, L Copland, L Imsland Cold Regions Science and Technology 155, 69-89, 2018 | 6 | 2018 |
A study on an iceberg drift trajectory LE Andersson, F Scibilia, L Imsland International Conference on Offshore Mechanics and Arctic Engineering 57762 …, 2017 | 5 | 2017 |
Wind farm control-Part I: A review on control system concepts and structures, IET Renewable Power Generation, 15, 2085–2108 LE Andersson, O Anaya-Lara, JO Tande, KO Merz, L Imsland | 4 | 2021 |
Estimation of systems with oscillating inputs-applied to iceberg drift forecast LE Andersson, F Scibilia, L Imsland 2016 IEEE Conference on Control Applications (CCA), 940-947, 2016 | 4 | 2016 |
The moving horizon estimator used in iceberg drift estimation and Forecast LE Andersson, F Scibilia, L Imsland 2016 European Control Conference (ECC), 1271-1277, 2016 | 4 | 2016 |
Bayesian Optimization for techno-economic analysis of pressure swing adsorption processes LE Andersson, J Schilling, L Riboldi, A Bardow, R Anantharaman Computer Aided Chemical Engineering 51, 1441-1446, 2022 | 3 | 2022 |
An iceberg drift prediction study offshore Newfoundland LE Andersson, L Imsland, F Scibilia OTC Arctic Technology Conference, OTC-27472-MS, 2016 | 3 | 2016 |
Model predictive control of compact combined cycles in offshore power plants integrating a wind farm K Qiu, LE Andersson, C Zotică, A Reyes-Lúa, RM Montañés, ... Computer Aided Chemical Engineering 52, 1545-1550, 2023 | 2 | 2023 |