| 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 | 114 | 2021 |
| 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 | 81 | 2022 |
| 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 | 56 | 2022 |
| 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 | 31 | 2022 |
| Modeling competition of virtual power plants via deep learning M Löschenbrand Energy 214, 118870, 2021 | 27 | 2021 |
| A data set of a Norwegian energy community K Berg, M Löschenbrand Data in Brief 40, 107683, 2022 | 17 | 2022 |
| Hydro power reservoir aggregation via genetic algorithms M Löschenbrand, M Korpås Energies 10 (12), 2165, 2017 | 16 | 2017 |
| A transmission expansion model for dynamic operation of flexible demand M Löschenbrand International Journal of Electrical Power & Energy Systems 124, 106252, 2021 | 15 | 2021 |
| 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 | 15 | 2018 |
| Hydro-thermal power market equilibrium with price-making hydropower producers M Löschenbrand, W Wei, F Liu Energy 164, 377-389, 2018 | 14 | 2018 |
| 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 | 12 | 2018 |
| A temporal neural network model for probabilistic multi-period forecasting of distributed energy resources M Löschenbrand IEEE Access 9, 147029-147041, 2021 | 7 | 2021 |
| Finding multiple Nash equilibria via machine learning-supported Gröbner bases M Löschenbrand European Journal of Operational Research 284 (3), 1178-1189, 2020 | 5 | 2020 |
| Stochastic variational inference for probabilistic optimal power flows M Löschenbrand Electric Power Systems Research 200, 107465, 2021 | 3 | 2021 |
| 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 | 3 | 2021 |
| 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 | 3 | 2018 |
| Impact of inertial response requirements on a multi area renewable network M Löschenbrand, H Farahmand, M Korpås 2017 IEEE Manchester PowerTech, 1-6, 2017 | 1 | 2017 |
| 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 |
Hossein FarahmandProfessor, Department of Electric Energy, Norwegian University of Science and Technology (NTNU)Подтвержден адрес электронной почты в домене ntnu.no