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Markus Löschenbrand
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Developments and challenges in local electricity markets: A comprehensive review
S Bjarghov, M Löschenbrand, AUNI Saif, RA Pedrero, C Pfeiffer, ...
IEEE Access 9, 58910-58943, 2021
842021
Trends in local electricity market design: Regulatory barriers and the role of grid tariffs
M Maldet, FH Revheim, D Schwabeneder, G Lettner, PC del Granado, ...
Journal of Cleaner Production 358, 131805, 2022
412022
A systematic review of machine learning techniques related to local energy communities
A Hernandez-Matheus, M Löschenbrand, K Berg, I Fuchs, ...
Renewable and Sustainable Energy Reviews 170, 112651, 2022
402022
Modeling competition of virtual power plants via deep learning
M Löschenbrand
Energy 214, 118870, 2021
242021
Modelling and simulation approaches for local energy community integrated distribution networks
R Rana, K Berg, MZ Degefa, M Löschenbrand
IEEE Access 10, 3775-3789, 2022
212022
Hydro power reservoir aggregation via genetic algorithms
M Löschenbrand, M Korpås
Energies 10 (12), 2165, 2017
152017
A transmission expansion model for dynamic operation of flexible demand
M Löschenbrand
International Journal of Electrical Power & Energy Systems 124, 106252, 2021
132021
Multiple Nash equilibria in electricity markets with price-making hydrothermal producers
M Löschenbrand, M Korpås
IEEE Transactions on Power Systems 34 (1), 422-431, 2018
132018
Hydro-thermal power market equilibrium with price-making hydropower producers
M Löschenbrand, W Wei, F Liu
Energy 164, 377-389, 2018
122018
A data set of a Norwegian energy community
K Berg, M Löschenbrand
Data in Brief 40, 107683, 2022
112022
Comparison of cost allocation strategies among prosumers and consumers in a cooperative game
E Tveita, M Löschenbrand, S Bjarghov, H Farahmand
2018 International Conference on Smart Energy Systems and Technologies (SEST …, 2018
92018
A temporal neural network model for probabilistic multi-period forecasting of distributed energy resources
M Löschenbrand
IEEE Access 9, 147029-147041, 2021
62021
Finding multiple Nash equilibria via machine learning-supported Gröbner bases
M Löschenbrand
European Journal of Operational Research 284 (3), 1178-1189, 2020
42020
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression
M Löschenbrand, S Gros, V Lakshmanan
2021 International Conference on Smart Energy Systems and Technologies (SEST …, 2021
32021
Stochastic variational inference for probabilistic optimal power flows
M Löschenbrand
Electric Power Systems Research 200, 107465, 2021
22021
Market power in hydro-thermal systems with marginal cost bidding
M Loschenbrand, M Korpas, M Fodstad
2018 15th International Conference on the European Energy Market (EEM), 1-5, 2018
22018
Impact of inertial response requirements on a multi area renewable network
M Löschenbrand, H Farahmand, M Korpås
2017 IEEE Manchester PowerTech, 1-6, 2017
12017
Modelling Approaches for Local Energy Community
R Rana, MZ Degefa, K Berg, M Löschenbrand
SINTEF Rapport, 2021
2021
Dynamic Electricity Market Games–Modeling Competition under Large-scale Storage
M Löschenbrand
NTNU, 2019
2019
Market Power In A Hydro-Thermal System Under Uncertainty
M Löschenbrand
Transforming Energy Markets, 41st IAEE International Conference, Jun 10-13, 2018, 2018
2018
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