Two decades of vehicle-to-grid research show widely divergent profitability estimates
Signer, T.; Kleinebrahm, M.; Weiskopf, T.; Weinand, J.; Raab, M.; Regener, V.; Fichtner, W.
2026. Advances in Applied Energy, 100306. doi:10.1016/j.adapen.2026.100306

Welfare-Optimal Storage Integration in Agent-Based Electricity Market Models
Signer, T.; Möck, J.; Weiskopf, T.; Kleinebrahm, M.; Fichtner, W.
2026, March 30. Agent-Based Modeling for Energy Economics and Energy Policy (ABM4Energy 2026), Vienna, Austria, March 30–31, 2026

Who Adopts Where and When? Electric Vehicle Diffusion with Building-Level Localization in Germany
Raab, M.; Kleinebrahm, M.; Vogl, J.; Signer, T.; Braun, J.; Fichtner, W.
2026. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000196458

Decarbonization of European Industry: Modelling and Open Science (DEIMOS)
Britto, A.; Scharnhorst, L.; Kleinebrahm, M.; Fichtner, W.
2026. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000196316

A logit-based technology diffusion model on carbon capture adoption in Europe’s hard-to-abate industry
Bergler, L.; Scharnhorst, L.; Britto, A.; Kleinebrahm, M.; Fichtner, W.
2026. 2026 22nd International Conference on the European Energy Market (EEM), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM68581.2026.11589731

A review of challenges and opportunities in occupant modeling for future residential energy demand
Vogl, J.; Kleinebrahm, M.; Raab, M.; McKenna, R.; Fichtner, W.
2026. Energy and Buildings, 364, Art.Nr: 117522. doi:10.1016/j.enbuild.2026.117522

Integration of electric vehicles into energy system models: A review
Raab, M.; Vogl, J.; Signer, T.; Kleinebrahm, M.
2026. Renewable and Sustainable Energy Reviews, 238, Art.Nr: 117078. doi:10.1016/j.rser.2026.117078

Between policy and practice: Emerging lessons on personal carbon trading at the household level
Scharnhorst, L.; Vrain, E.; Kleinebrahm, M.; Fichtner, W.
2025, September 24. 13th Oxford Energy Day – Energy and Data: Opportunities and Challenges for the Energy Transition (2025), Oxford, UK, September 24, 2025

Public acceptability of digital personal carbon trading: a technology acceptance perspective from UK households
Scharnhorst, L.; Vrain, E.; Kleinebrahm, M.; Fichtner, W.
2025. Behave 2025 Conference Proceedings : Equality in Energy Transitions, 356–361

The role of geothermal plants in the global energy and materials transition
Weinand, J. M.; Kleinebrahm, M.; Sanjuan, B.; Trutnevyte, E.; Treyer, K.; Claret, F.; Dalla Longa, F.; Burgherr, P.; van der Zwaan, B.; McKenna, R. C.; Stolten, D.
2025. Nexus, 2 (4), Art.-Nr.: 100099. doi:10.1016/j.ynexs.2025.100099

Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles
Dengiz, T.; Raith, A.; Kleinebrahm, M.; Vogl, J.; Fichtner, W.
2025. Energy, 335, 138063. doi:10.1016/j.energy.2025.138063

A Review of Challenges and Opportunities in Occupant Modeling for Future Residential Energy Demand
Vogl, J.; Kleinebrahm, M.; Raab, M.; McKenna, R.; Fichtner, W.
2025. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000185143/v2

Integration of Block, Linked and Loop Bids in a Market Coupling Algorithm
Signer, T.; Mack, J.; Kleinebrahm, M.; Slednev, V.; Weiskopf, T.; Fichtner, W.
2025. 2025 21st International Conference on the European Energy Market (EEM), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM64765.2025.11050140

Household carbon caps and tariffs: A living lab experiment
Scharnhorst, L.; Sandmeier, T.; Kleinebrahm, M.; Fichtner, W.
2025. Energy Research & Social Science, 127, 104294. doi:10.1016/j.erss.2025.104294

Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps
Dengiz, T.; Kleinebrahm, M.
2024. Energy and AI, 18, Art.-Nr.: 100441. doi:10.1016/j.egyai.2024.100441

Flexibility Potential of Future EV-Fleets in Germany
Signer, T.; Nefferdorf, J.; Kleinebrahm, M.; Stumpf, S.; Fichtner, W.
2025, May 17. 2nd International Electric Vehicle Conference (2025), Stuttgart, Germany, May 14–16, 2025

Countries across the world use more land for golf courses than wind or solar energy
Weinand, J. M.; Pelser, T.; Kleinebrahm, M.; Stolten, D.
2025. Environmental Research Communications, 7 (2), Art.-Nr.: 021012. doi:10.1088/2515-7620/adb7bd

Household heat and electricity consumption data from three living lab interventions in the Energy Smart Home Lab
Sandmeier, T.; Scharnhorst, L.; Kleinebrahm, M.; Fichtner, W.
2025. doi:10.35097/txjj7yawp9gr4ts8

Impacts of climate change on the European electricity market
Weiskopf, T.; Jahnke, E.; Kleinebrahm, M.; Britto, A.
2024. 2024 20th International Conference on the European Energy Market (EEM), Istanbul, Turkiye, 10-12 June 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM60825.2024.10608934

Techno-Economic Analysis of Future Process-Specific Demand Response in European Industries
Scharnhorst, L.; Xie, X.; Kleinebrahm, M.; Fichtner, W.
2024. 20th International Conference on the European Energy Market (EEM 2024), 10 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM60825.2024.10608488

Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps
Dengiz, T.; Kleinebrahm, M.
2024. arxiv. doi:10.48550/arXiv.2407.11561

Input and result data for the paper "Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps"
Dengiz, T.; Kleinebrahm, M.
2024, June 28. doi:10.35097/JieKFMOeZgzCYGmh

Scaling energy system optimizations: Techno-economic assessment of energy autonomy in 11 000 German municipalities
Risch, S.; Weinand, J. M.; Schulze, K.; Vartak, S.; Kleinebrahm, M.; Pflugradt, N.; Kullmann, F.; Kotzur, L.; McKenna, R.; Stolten, D.
2024. Energy Conversion and Management, 309, Art.-Nr.: 118422. doi:10.1016/j.enconman.2024.118422

Future Residential Energy System Design. PhD dissertation
Kleinebrahm, M.
2024, May 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170239

Input data and result data for the paper "Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles"
Dengiz, T.; Kleinebrahm, M.
2024, July 1. doi:10.35097/ZxeqNfKvVlQcjQAt

Electric Mobility in PowerACE
Signer, T.; Sandmeier, T.; Weiskopf, T.; Kleinebrahm, M.; Fichtner, W.
2024, March 21. Agent-Based Modeling for Energy Economics and Energy Policy (ABM4Energy 2024), Freiburg, Germany, March 21–22, 2024

Integrating flexible demand in the sectors industry and households into the agent-based electricity market model PowerACE
Scharnhorst, L.; Schuhmacher, J.; Jahnke, E.; Signer, T.; Kleinebrahm, M.; Ardone, A.; Fichtner, W.
2024, March 21. Agent-Based Modeling for Energy Economics and Energy Policy (ABM4Energy 2024), Freiburg, Germany, March 21–22, 2024

„Ein teurer Irrweg“ – KIT Studie zeigt: energieautarke Eigenheime sind keine Strategie für die Energiewende in Europa - Campus-Report am 26.12.2023
Fuchs, S.; Kleinebrahm, M.
2023. doi:10.5445/IR/1000166059

Two million European single-family homes could abandon the grid by 2050
Kleinebrahm, M.; Weinand, J. M.; Naber, E.; McKenna, R.; Ardone, A.; Fichtner, W.
2023. Joule, 7 (11), 2485–2510. doi:10.1016/j.joule.2023.09.012

Disruptive Events within the RESUR Project: Identification and Modeling – Helmholtz platform for the design of robust energy systems and their supply chains
Dickler, S.; Ardone, A.; Poganietz, W.-R.; Ross, A.; Weinand, J.; Zapp, P.; Shamon, H.; Rösch, C.; Haase, M.; Kraft, E.; Kebrich, S.; Kullmann, F.; Kleinebrahm, M.; Hoffmann, J.; Vögele, S.; Goerge, M.
2023. Helmholtz Energy Conference (2023), Koblenz, Germany, June 12–13, 2023

Multivariate time series imputation for energy data using neural networks
Bülte, C.; Kleinebrahm, M.; Yilmaz, H. Ü.; Gómez-Romero, J.
2023. Energy and AI, 13, Artikl.Nr.: 100239. doi:10.1016/j.egyai.2023.100239

Analysing municipal energy system transformations in line with national greenhouse gas reduction strategies
Kleinebrahm, M.; Weinand, J. M.; Naber, E.; McKenna, R.; Ardone, A.
2023. Applied Energy, 332, Art.-Nr.: 120515. doi:10.1016/j.apenergy.2022.120515

Corrigendum to “Assessing the contribution of simultaneous heat and power generation from geothermal plants in off-grid municipalities” [Appl. Energy 255 (2019) 113824]
Weinand, J. M.; McKenna, R.; Kleinebrahm, M.; Mainzer, K.
2022. Applied Energy, 307, Art.-Nr.: 118202. doi:10.1016/j.apenergy.2021.118202

Dissemination of PV-Battery systems in the German residential sector up to 2050: Technological diffusion from multidisciplinary perspectives
Vogele, S.; Poganietz, W.-R.; Kleinebrahm, M.; Weimer-Jehle, W.; Bernhard, J.; Kuckshinrichs, W.; Weiss, A.
2022. Energy, 248, Artk.Nr.: 123477. doi:10.1016/j.energy.2022.123477

Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law
Braeuer, F.; Kleinebrahm, M.; Naber, E.; Scheller, F.; McKenna, R.
2022. Applied Energy, 305, Art.-Nr.: 117884. doi:10.1016/j.apenergy.2021.117884

The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems
Weinand, J. M.; McKenna, R.; Kleinebrahm, M.; Scheller, F.; Fichtner, W.
2021. Patterns, 2 (7), Art.-Nr.: 100301. doi:10.1016/j.patter.2021.100301

Research trends in combinatorial optimization
Weinand, J. M.; Sörensen, K.; San Segundo, P.; Kleinebrahm, M.; McKenna, R.
2022. International transactions in operational research, 29 (2), 667–705. doi:10.1111/itor.12996

Development of a dynamic European residential building stock typology for energy system analysis
Kleinebrahm, M.; Naber, E.; Weinand, J.; McKenna, R.; Ardone, A.
2021, April 19. European Geosciences Union General Assembly (EGU 2021), Online, April 19–30, 2021. doi:10.5194/egusphere-egu21-8001

Using neural networks to model long-term dependencies in occupancy behavior
Kleinebrahm, M.; Torriti, J.; McKenna, R.; Ardone, A.; Fichtner, W.
2021. Energy and buildings, 240, Art.Nr. 110879. doi:10.1016/j.enbuild.2021.110879

Identification of Potential Off-Grid Municipalities with 100% Renewable Energy Supply for Future Design of Power Grids
Weinand, J. M.; Ried, S.; Kleinebrahm, M.; McKenna, R.; Fichtner, W.
2022. IEEE transactions on power systems, 37 (4), 3321–3330. doi:10.1109/TPWRS.2020.3033747

Using neural networks to model long-term dependencies in occupancy behavior
Kleinebrahm, M.; Torriti, J.; McKenna, R.; Ardone, A.; Fichtner, W.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000126271

Identification of potential off-grid municipalities with 100% renewable energy supply
Weinand, J. M.; Ried, S.; Kleinebrahm, M.; McKenna, R.; Fichtner, W.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000118013

Developing a combinatorial optimisation approach to design geothermal-based district heating systems
Weinand, J. M.; Kleinebrahm, M.; McKenna, R.; Mainzer, K.; Fichtner, W.
2019, June 26. 30th European Conference on Operational Research (EURO 2019), Dublin, Ireland, June 23–26, 2019

Assessing the contribution of simultaneous heat and power generation from geothermal plants in off-grid municipalities
Weinand, J. M.; McKenna, R.; Kleinebrahm, M.; Mainzer, K.
2019. Applied energy, 255, 113824. doi:10.1016/j.apenergy.2019.113824

Effects of the tenants electricity law on energy system layout and landlord-tenant relationship in a multi-family building in Germany
Braeuer, F.; Kleinebrahm, M.; Naber, E.
2019. IOP conference series / Earth and environmental science, 323, Art.-Nr.: 012168. doi:10.1088/1755-1315/323/1/012168

Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy
Weinand, J. M.; Kleinebrahm, M.; McKenna, R.; Mainzer, K.; Fichtner, W.
2019. Applied energy, 251, 113367. doi:10.1016/j.apenergy.2019.113367

Developing a three-stage heuristic to design geothermal-based district heating systems
Weinand, J.; Kleinebrahm, M.; McKenna, R.; Mainzer, K.; Fichtner, W.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000090290

Optimal Renewable Energy Based Supply Systems for Self-sufficient Residential Buildings
Kleinebrahm, M.; Weinand, J.; Ardone, A.; McKenna, R.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 164–171, Karlsruher Institut für Technologie (KIT)

A stochastic multi-energy simulation model for UK residential buildings
McKenna, R.; Hofmann, L.; Kleinebrahm, M.; Fichtner, W.
2018. Energy and buildings, 168, 470–489. doi:10.1016/j.enbuild.2018.02.051

Dr.-Ing. Max Kleinebrahm

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