| Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis T Schütz, MH Schraven, M Fuchs, P Remmen, D Müller Renewable energy 129, 570-582, 2018 | 137 | 2018 |
| Demand side management for city districts D Müller, A Monti, S Stinner, T Schlösser, T Schütz, P Matthes, H Wolisz, ... Building and Environment 91, 283-293, 2015 | 112 | 2015 |
| Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model T Schütz, L Schiffer, H Harb, M Fuchs, D Müller Applied Energy 185, 1-15, 2017 | 99 | 2017 |
| A comparison of thermal energy storage models for building energy system optimization T Schütz, R Streblow, D Müller Energy and Buildings 93, 23-31, 2015 | 91 | 2015 |
| Data center control strategy for participation in demand response programs L Cupelli, T Schütz, P Jahangiri, M Fuchs, A Monti, D Müller IEEE Transactions on Industrial Informatics 14 (11), 5087-5099, 2018 | 79 | 2018 |
| Cost optimal sizing of smart buildings' energy system components considering changing end-consumer electricity markets H Wolisz, T Schütz, T Blanke, M Hagenkamp, M Kohrn, M Wesseling, ... Energy 137, 715-728, 2017 | 48 | 2017 |
| Optimal design of decentralized energy conversion systems for smart microgrids using decomposition methods T Schütz, X Hu, M Fuchs, D Müller Energy 156, 250-263, 2018 | 46 | 2018 |
| Model compendium, data, and optimization benchmarks for sector-coupled energy systems S Sass, T Faulwasser, DE Hollermann, CD Kappatou, D Sauer, T Schütz, ... Computers & chemical engineering 135, 106760, 2020 | 41 | 2020 |
| Decentralized scheduling strategy of heating systems for balancing the residual load H Harb, JN Paprott, P Matthes, T Schütz, R Streblow, D Müller Building and Environment 86, 132-140, 2015 | 41 | 2015 |
| Clustering algorithms for the selection of typical demand days for the optimal design of building energy systems T Schütz, MH Schraven, H Harb, M Fuchs, D Müller 29th International Conference on Efficiency, Cost, Optimization, Simulation …, 2016 | 35 | 2016 |
| Optimal design of energy conversion units for residential buildings considering German market conditions T Schütz, MH Schraven, S Remy, J Granacher, D Kemetmüller, M Fuchs, ... Energy 139, 895-915, 2017 | 33 | 2017 |
| Comparison of models for thermal energy storage units and heat pumps in mixed integer linear programming T Schütz, H Harb, R Streblow, D Müller The 28th International Conference on Efficiency, Cost, Optimization …, 2015 | 29 | 2015 |
| Purely Agent Based Control of Building Energy Supply Systems M Huber, S Brust, T Schütz, A Constantin, R Streblow, D Müller The 28th International Conference on Efficiency, Cost, Optimization …, 2015 | 15 | 2015 |
| A multi-agent based approach for energy management in microgrids H Harb, T Schütz, R Streblow, D Müller Proceedings of ECOS 2014, 2014 | 15 | 2014 |
| Computer-assisted 3D-reconstruction and statistics of the limbic system: 1. Computer-assisted 3D-reconstruction of the hippocampal formation, the fornix, and the mamillary bodies M Gerke, T Schütz, HJ Kretschmann Anatomy and embryology 186, 129-136, 1992 | 12 | 1992 |
| Technology pathways for industrial cogeneration systems: Optimal investment planning considering long-term trends L Hoettecke, T Schuetz, S Thiem, S Niessen Applied Energy 324, 119675, 2022 | 11 | 2022 |
| Optimal Design of Building Energy Systems for Residential Buildings T Schütz, H Harb, M Fuchs, D Müller CLIMA 2016 - proceedings of the 12th REHVA World Congress 6, 1-11, 2016 | 9 | 2016 |
| Optimal design of energy conversion units and building envelopes for residential neighborhoods T Schütz Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2018, 2018 | 8 | 2018 |
| Automated identification of neuroanatomical structures in CT-and MR-images T Schutz, HJ Kretschmann, D Muller CAR 89, 287-291, 1989 | 8 | 1989 |
| On modelling effects in the battery and thermal storage scheduling problem A Murray, T Schütz, G Pan, D Müller, V Hagenmeyer Journal of Building Performance Simulation 14 (1), 38-51, 2021 | 7 | 2021 |
Hassan HarbInstitute for Energy Efficient Buildings and Indoor Climate, EON ERC, RWTH Aachen UniversityVerified email at eonerc.rwth-aachen.de
