Peak load reduction through dynamic pricing for electric vehicle charging S Limmer, T Rodemann International Journal of Electrical Power & Energy Systems 113, 117-128, 2019 | 88 | 2019 |
Dynamic pricing for electric vehicle charging—A literature review S Limmer Energies 12 (18), 3574, 2019 | 71 | 2019 |
A Review: Prognostics and Health Management in Automotive and Aerospace D Van Nguyen, M Kefalas, K Yang, A Apostolidis, M Olhofer, S Limmer, ... International Journal of Prognostics and Health Management 10 (2), 2019 | 55 | 2019 |
Performance investigations of genetic algorithms on graphics cards J Hofmann, S Limmer, D Fey Swarm and Evolutionary Computation 12, 33-47, 2013 | 41 | 2013 |
Automated machine learning for short-term electric load forecasting C Wang, T Bäck, HH Hoos, M Baratchi, S Limmer, M Olhofer 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 314-321, 2019 | 29 | 2019 |
Optimal charging of electric vehicles with trading on the intraday electricity market I Naharudinsyah, S Limmer Energies 11 (6), 1416, 2018 | 28 | 2018 |
Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization Y Wang, S Limmer, M Olhofer, M Emmerich, T Bäck Swarm and Evolutionary Computation 65, 100933, 2021 | 24 | 2021 |
Vehicle fleet maintenance scheduling optimization by multi-objective evolutionary algorithms Y Wang, S Limmer, M Olhofer, MTM Emmerich, T Bäck 2019 ieee congress on evolutionary computation (cec), 442-449, 2019 | 21 | 2019 |
Towards time-series feature engineering in automated machine learning for multi-step-ahead forecasting C Wang, M Baratchi, T Bäck, HH Hoos, S Limmer, M Olhofer Engineering Proceedings 18 (1), 17, 2022 | 17 | 2022 |
Optimizing the maintenance schedule for a vehicle fleet: a simulation-based case study Y Wang, S Limmer, D Van Nguyen, M Olhofer, T Bäck, M Emmerich Engineering optimization 54 (7), 1258-1271, 2022 | 16 | 2022 |
Comparison of common parallel architectures for the execution of the island model and the global parallelization of evolutionary algorithms S Limmer, D Fey Concurrency and Computation: Practice and Experience 29 (9), e3797, 2017 | 16 | 2017 |
Optimization of dynamic prices for electric vehicle charging considering fairness S Limmer, M Dietrich 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2304-2311, 2018 | 12 | 2018 |
Smart charging of electric vehicles considering SOC-dependent maximum charging powers B Schaden, T Jatschka, S Limmer, GR Raidl Energies 14 (22), 7755, 2021 | 11 | 2021 |
Accuracy and performance of 3D mask models in optical projection lithography V Agudelo, P Evanschitzky, A Erdmann, T Fühner, F Shao, S Limmer, ... Optical Microlithography XXIV 7973, 236-246, 2011 | 11 | 2011 |
Modeling and Prediction of Remaining Useful Lifetime for Maintenance Scheduling Optimization of a Car Fleet D Van Nguyen, S Limmer, K Yang, M Olhofer, T Bäck International Journal of Performability Engineering 15 (9), 2318, 2019 | 10 | 2019 |
Multi-objective optimization of plug-in electric vehicle charging prices S Limmer, T Rodemann 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 10 | 2017 |
Investigation of strategies for an increasing population size in multi-objective CMA-ES S Limmer, D Fey 2016 IEEE Congress on Evolutionary Computation (CEC), 476-483, 2016 | 10 | 2016 |
Optimizing the hyperparameters of a mixed integer linear programming solver to speed up electric vehicle charging control T Ishihara, S Limmer Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 9 | 2020 |
A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem M Kefalas, S Limmer, A Apostolidis, M Olhofer, M Emmerich, T Bäck Proceedings of the genetic and evolutionary computation conference companion …, 2019 | 9 | 2019 |
Coordination of home appliances for demand response: An improved optimization model and approach S Limmer, F Lezama, J Soares, Z Vale IEEE Access 9, 146183-146194, 2021 | 8 | 2021 |