Energy Demand & Mobility: Publications

Coordinated price-based control of modulating heat pumps for practical demand response and peak shaving in building clusters
Langner, F.; Kovačević, J.; Zwickel, P.; Dengiz, T.; Frahm, M.; Waczowicz, S.; Çakmak, H. K.; Matthes, J.; Hagenmeyer, V.
2024. Energy and Buildings, 324, 114940. doi:10.1016/j.enbuild.2024.114940

PowerACE from a computational view
Weiskopf, T.; Signer, T.; Stelzer, J.; Ardone, A.; Fichtner, W.
2024, September 25. 10th bwHPC Symposium (2024), Freiburg, Germany, September 25–26, 2024

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

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.
2024. arxiv. doi:10.48550/arXiv.2407.11719

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

Electrical consumption data from a three months living lab experiment in the Energy Smart Home Lab
Sandmeier, T.
2023. doi:10.35097/898

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

PowerACE – Agent-based electricity market model
Schuhmacher, J.; Jahnke, E.; Weiskopf, T.; Signer, T.; Scharnhorst, L.; Ardone, A.; 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

Unlocking Tomorrow’s Decarbonization Potential: A Techno-Economic Assessment of Carbon Capture Diffusion in the European Industrial Landscape
Scharnhorst, L.; Hollert, F.
2024, January 31. eceee Zero Carbon Industry (2024), Antwerp, Belgium, January 30–31, 2024

Incentivized Energy Consumption Adaption in Private Households Facing the Energy Crisis
Scharnhorst, L.; Sandmeier, T.; Ardone, A.; Fichtner, W.
2023. Conference Proceedings - BEHAVE 2023 the 7th European Conference on Behaviour Change for Energy Efficiency, 668–679

Barriers to demand response in the commercial and industrial sectors – An empirical investigation
Scharnhorst, L.; Sloot, D.; Lehmann, N.; Ardone, A.; Fichtner, W.
2024. Renewable and Sustainable Energy Reviews, 190 (Part B), Art.-Nr.: 114067. doi:10.1016/j.rser.2023.114067

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

Consumer Preferences and Acceptance of Compensation Schemes for Controlled Power Shutdowns in Germany: Results from a Choice Experiment
Scharnhorst, L.; Sandmeier, T.; Hess, L.; Ardone, A.; Fichtner, W.
2023, October 12. Transforming towards a sustainable society - challenges and solutions (2023), Karlsruhe, Germany, October 11–13, 2023

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

Occupant-oriented demand response with multi-zone thermal building control
Frahm, M.; Dengiz, T.; Zwickel, P.; Maaß, H.; Matthes, J.; Hagenmeyer, V.
2023. Applied Energy, 347, Art.-Nr.: 121454. doi:10.1016/j.apenergy.2023.121454

Inducing energy and CO2 savings in private households by introducing CO2-budgets – findings from a living lab experiment
Sandmeier, T.; Scharnhorst, L.; Ardone, A.; Fichtner, W.
2023, June 13. 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

Empirical Investigation of the Value of Security of Supply in Private Households - A Case Study in the Energy Smart Home Lab
Scharnhorst, L.; Sandmeier, T.; Appel, B.; Ardone, A.; Fichtner, W.
2023. 13. Internationale Energiewirtschaftstagung (IEWT 2023), Wien, Österreich, February 15–17, 2023

Empirische Untersuchung zum Wert von Versorgungssicherheit in Privathaushalten – eine Fallstudie im Energy Smart Home Lab
Scharnhorst, L.; Sandmeier, T.; Appel, B.; Ardone, A.; Fichtner, W.
2023. Die Zukunft der EnergieMÄRKTE in Europa vor dem Hintergrund neuer geopolitischer Ungleichgewichte

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

Steelmaking Technology and Energy Prices: The Case of Germany
Britto, A.; Kraft, E.; Dehler-Holland, J.
2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000153214

Barriers to Demand Response in the Commercial and Industrial Sectors - an Empirical Investigation
Scharnhorst, L.; Sloot, D.; Lehmann, N.; Ardone, A.; Fichtner, W.
2022, November 8. 17th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2022), Paphos, Cyprus, November 7–10, 2022

Wealth, Consumption, and Energy-Efficiency Investments
Britto, A.; Dehler-Holland, J.; Fichtner, W.
2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000152410

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

High-resolution real-world electricity data from three microgrids in the global south
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 496–514, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539763

Letter to the editor: Discussion of proposed t -statistic in "ppcor: An R Package for a fast calculation to semi-partial correlation coefficients," CSAM 2015; 22:665-674
Britto, A.
2022. Communications for Statistical Applications and Methods, 29 (3), 393–396. doi:10.29220/CSAM.2022.29.3.393

FlexKälte: Flexibilisierung vorhandener Kälteanlagen und deren optimierter Einsatz
Dengiz, T.; Frahm, M.; Hofacker, W.; Maaß, H.; Wilferth, M.; Wölfle, D.
2022, June 9. 3. Kongress ENERGIEWENDEBAUEN (2022), Wuppertal, Germany, June 9–10, 2022

Comparison of different methods of spatial disaggregation of electricity generation and consumption time series
Raventós, O.; Dengiz, T.; Medjroubi, W.; Unaichi, C.; Bruckmeier, A.; Finck, R.
2022. Renewable and Sustainable Energy Reviews, 163, Art.-Nr.: 112186. doi:10.1016/j.rser.2022.112186

High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. ACM Digital Library. doi:10.5445/IR/1000144567

High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022, May 23. doi:10.5445/IR/1000143466

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 Investment in Energy Efficiency as a Problem of Growth-Rate Maximisation : Evidence and Policy Implications
Britto, A.; Dehler-Holland, J.
2021. eceee 2021 Summer Study on energy efficiency : a new reality?, 855–864, European Council for an Energy Efficient Economy (eceee)

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

Optimization approaches for exploiting the load flexibility of electric heating devices in smart grids. PhD dissertation
Dengiz, T.
2021, April 14. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000131495

The Impact of Economic and Non-Economic Incentives to Induce Residential Demand Response : Findings from a Living Lab Experiment
Scharnhorst, L.; Sandmeier, T.; Ardone, A.; Fichtner, W.
2021. Energies, 14 (8), Article no: 2036. doi:10.3390/en14082036

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

Demand response through decentralized optimization in residential areas with wind and photovoltaics
Dengiz, T.; Jochem, P.; Fichtner, W.
2021. Energy, 223, Art.-Nr.: 119984. doi:10.1016/j.energy.2021.119984

Optimal Investment in Energy Efficiency as a Problem of Growth Rate Maximisation
Britto, A.; Dehler-Holland, J.; Fichtner, W.
2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000130464

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

Aggregating load shifting potentials of electric vehicles for energy system models
Ried, S.; Dengiz, T.; Soldner, S.; Jochem, P.
2020. 17th International Conference on the European Energy Market, EEM 2020, Stockholm, Sweden, 16 - 18 September 2020, Art.Nr. 9221974, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM49802.2020.9221974

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

Demand response through decentralized optimization in residential areas with wind and photovoltaics
Dengiz, T.; Jochem, P.; Fichtner, W.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000118359

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

Decentralized optimization approaches for using the load flexibility of electric heating devices
Dengiz, T.; Jochem, P.
2020. Energy, 193, Article no: 116651. doi:10.1016/j.energy.2019.116651

Uncertainty handling control algorithms for demand response with modulating electric heating devices
Dengiz, T.; Jochem, P.; Fichtner, W.
2019. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, RO, September 29 - October 2, 2019, Article no: 8905448, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope.2019.8905448

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

Reducing energy time series for energy system models via self-organizing maps
Yilmaz, H. Ü.; Fouché, E.; Dengiz, T.; Krauß, L.; Keles, D.; Fichtner, W.
2019. Information technology, 61 (2-3), 125–133. doi:10.1515/itit-2019-0025

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

Demand response with heuristic control strategies for modulating heat pumps
Dengiz, T.; Jochem, P.; Fichtner, W.
2019. Applied energy, 238, 1346–1360. doi:10.1016/j.apenergy.2018.12.008

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)

Impact of different control strategies on the flexibility of power-to-heat-systems
Dengiz, T.; Jochem, P.; Fichtner, W.
2018. Transforming Energy Markets : 41st IAEE International Conference, Groningen, Netherlands, 11th - 13th June, 2018, International Association for Energy Economics

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

Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios
Braun, M.; Dengiz, T.; Mauser, I.; Schmeck, H.
2016. Applications of Evolutionary Computation (EvoApplications) : 19th European Conference, Proceedings Part 1, Porto, Portugal, 30th March - 1st April 2016. Ed.: G. Squillero, 443–458, Springer-Verlag. doi:10.1007/978-3-319-31204-0_29