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Leif Erik Andersson
Leif Erik Andersson
Verified email at ntnu.no
Title
Cited by
Cited by
Year
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
692022
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
552021
On Kalman filtering with linear state equality constraints
LE Andersson, L Imsland, EF Brekke, F Scibilia
Automatica 101, 467-470, 2019
242019
An estimation-forecast set-up for iceberg drift prediction
LE Andersson, F Scibilia, L Imsland
Cold Regions Science and Technology 131, 88-107, 2016
212016
Real-time optimization of wind farms using modifier adaptation and machine learning
LE Andersson, L Imsland
Wind Energy Science Discussions 2020, 1-17, 2020
182020
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
152019
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
102017
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
92022
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
72020
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
72020
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
72019
Distributed learning for wind farm optimization with Gaussian processes*
LE Andersson, EC Bradford, L Imsland
2020 American Control Conference (ACC), 4058-4064, 2020
62020
Comparison of statistical iceberg forecast models
LE Andersson, F Scibilia, L Copland, L Imsland
Cold Regions Science and Technology 155, 69-89, 2018
62018
A study on an iceberg drift trajectory
LE Andersson, F Scibilia, L Imsland
International Conference on Offshore Mechanics and Arctic Engineering 57762 …, 2017
52017
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
42021
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
42016
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
42016
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
32022
An iceberg drift prediction study offshore Newfoundland
LE Andersson, L Imsland, F Scibilia
OTC Arctic Technology Conference, OTC-27472-MS, 2016
32016
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
22023
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