| Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy JM Weinand, M Kleinebrahm, R McKenna, K Mainzer, W Fichtner Applied energy 251, 113367, 2019 | 55 | 2019 |
| Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law F Braeuer, M Kleinebrahm, E Naber, F Scheller, R McKenna Applied Energy 305, 117884, 2022 | 49 | 2022 |
| The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems JM Weinand, R McKenna, M Kleinebrahm, F Scheller, W Fichtner Patterns 2 (7), 2021 | 45 | 2021 |
| Research trends in combinatorial optimization JM Weinand, K Sörensen, P San Segundo, M Kleinebrahm, R McKenna International Transactions in Operational Research 29 (2), 667-705, 2022 | 38 | 2022 |
| Assessing the contribution of simultaneous heat and power generation from geothermal plants in off-grid municipalities JM Weinand, R McKenna, M Kleinebrahm, K Mainzer Applied Energy 255, 113824, 2019 | 34 | 2019 |
| Analysing municipal energy system transformations in line with national greenhouse gas reduction strategies M Kleinebrahm, JM Weinand, E Naber, R McKenna, A Ardone Applied Energy 332, 120515, 2023 | 31 | 2023 |
| Identification of potential off-grid municipalities with 100% renewable energy supply for future design of power grids JM Weinand, S Ried, M Kleinebrahm, R McKenna, W Fichtner IEEE Transactions on Power Systems 37 (4), 3321-3330, 2020 | 31 | 2020 |
| A stochastic multi-energy simulation model for UK residential buildings R McKenna, L Hofmann, M Kleinebrahm, W Fichtner Energy and Buildings 168, 470-489, 2018 | 17 | 2018 |
| Multivariate time series imputation for energy data using neural networks C Bülte, M Kleinebrahm, HÜ Yilmaz, J Gómez-Romero Energy and AI 13, 100239, 2023 | 15 | 2023 |
| Dissemination of PV-Battery systems in the German residential sector up to 2050: technological diffusion from multidisciplinary perspectives S Vögele, WR Poganietz, M Kleinebrahm, W Weimer-Jehle, J Bernhard, ... Energy 248, 123477, 2022 | 14 | 2022 |
| Using neural networks to model long-term dependencies in occupancy behavior M Kleinebrahm, J Torriti, R McKenna, A Ardone, W Fichtner Energy and Buildings 240, 110879, 2021 | 13 | 2021 |
| Two million European single-family homes could abandon the grid by 2050 M Kleinebrahm, JM Weinand, E Naber, R McKenna, A Ardone, W Fichtner Joule 7 (11), 2485-2510, 2023 | 10 | 2023 |
| Effects of the tenants electricity law on energy system layout and landlord-tenant relationship in a multi-family building in Germany F Braeuer, M Kleinebrahm, E Naber IOP Conference Series: Earth and Environmental Science 323 (1), 012168, 2019 | 8 | 2019 |
| Optimal renewable energy based supply systems for self-sufficient residential buildings M Kleinebrahm, J Weinand, A Ardone, R McKenna BauSIM2018-7 deutsch-Ö sterreichische IBPSA-konferenz: tagungsband hrsg: P …, 2018 | 6 | 2018 |
| Identification of potential off-grid municipalities with 100% renewable energy supply J Weinand, S Ried, M Kleinebrahm, R McKenna, W Fichtner Working Paper Series in Production and Energy, 2020 | 5 | 2020 |
| Exploring socioeconomic and temporal characteristics of British and German residential energy demand R McKenna, M Kleinebrahm, T Yunusov, MJ Lorincz, J Torriti | 3 | 2018 |
| Development of a dynamic European residential building stock typology for energy system analysis M Kleinebrahm, E Naber, J Weinand, R McKenna, A Ardone EGU General Assembly Conference Abstracts, EGU21-8001, 2021 | 2 | 2021 |
| Scaling energy system optimizations: Techno-economic assessment of energy autonomy in 11 000 German municipalities S Risch, JM Weinand, K Schulze, S Vartak, M Kleinebrahm, N Pflugradt, ... Energy Conversion and Management 309, 118422, 2024 | 1 | 2024 |
| Countries across the world use more land for golf courses than wind or solar energy J Weinand, T Pelser, M Kleinebrahm, D Stolten arXiv preprint arXiv:2412.15376, 2024 | | 2024 |
| Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps T Dengiz, M Kleinebrahm Energy and AI 18, 100441, 2024 | | 2024 |
Russell McKennaProfessor, PSI & ETH ZurichCorreu electrònic verificat a ethz.ch