Publications

A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure
Galenzowski, J.; Waczowicz, S.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 8–20, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600245

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids
Kyesswa, M.; Weber, M.; Wiegel, F.; Wachter, J.; Waczowicz, S.; Kühnapfel, U.; Hagenmeyer, V.
2023. Energy Technology, Art.-Nr.: 2201186. doi:10.1002/ente.202201186

Smart Energy System Control Laboratory : a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems = Smart Energy System Control Laboratory : hochgradig automatisierte und nutzerorientierte Forschungsinfrastruktur zur Steuerung und zum Betrieb intelligenter Energiesysteme
Wiegel, F.; Wachter, J.; Kyesswa, M.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1116–1133. doi:10.1515/auto-2022-0018

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022, June 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Germany, June 26–29, 2022

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923074

Demand Response in Smart Districts: Model Predictive Control of Building Cooling
Zwickel, P.; Frahm, M.; Galenzowski, J.; Hafele, K.-H.; Maass, H.; Waczowicz, S.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960608

A Holistic Consideration of Megawatt Electrolysis as a Key Component of Sector Coupling
Emonts, B.; Müller, M.; Hehemann, M.; Janßen, H.; Keller, R.; Stähler, M.; Stähler, A.; Hagenmeyer, V.; Dittmeyer, R.; Pfeifer, P.; Waczowicz, S.; Rubin, M.; Munzke, N.; Kasselmann, S.
2022. Energies, 15 (10), 3656. doi:10.3390/en15103656

Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
González-Ordiano, J. Á.; Mühlpfordt, T.; Braun, E.; Liu, J.; Çakmak, H.; Kühnapfel, U.; Düpmeier, C.; Waczowicz, S.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2021. Applied energy, 302, Art.-Nr.: 117498. doi:10.1016/j.apenergy.2021.117498

A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. 2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 57–61, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSGCE52779.2021.9621604

Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface – A Real-World Application in the Energy Lab 2.0: Poster
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June 2021- 2 July 2021, 284–285, Association for Computing Machinery (ACM). doi:10.1145/3447555.3466571

PHIL Testing Experience at KIT: Experimental Validations of New Technologies
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; De Carne, G.; Geisbüsch, J.; Hiller, M.; Leibfried, T.; Hagenmeyer, V.; Noe, M.
2020, June 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, June 18, 2020

Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
Kohlhepp, P.; Harb, H.; Wolisz, H.; Waczowicz, S.; Müller, D.; Hagenmeyer, V.
2019. Renewable & sustainable energy reviews, 101, 527–547. doi:10.1016/j.rser.2018.09.045

Chancen der Digitalisierung für die Energiewende
Waczowicz, S.; Müller-Langer, F.; Kröner, M.; Steubing, M.; Fischedick, M.; Weigel, P.; Hagenmeyer, V.
2019. GWF / Gas+Energie, (1), 60–64

Demand response clustering — automatically finding optimal cluster hyper-parameter values
Waczowicz, S.; Ludwig, N.; Ordiano, J. Á. G.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 429–430, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212049

Assessment of unsupervised standard pattern recognition methods for industrial energy time series
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 434–435, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212051

Concept and benchmark results for Big Data energy forecasting based on Apache Spark
González Ordiano, J. Á.; Bartschat, A.; Ludwig, N.; Braun, E.; Waczowicz, S.; Renkamp, N.; Peter, N.; Düpmeier, C.; Mikut, R.; Hagenmeyer, V.
2018. Journal of Big Data, 5 (1), Art.Nr. 11. doi:10.1186/s40537-018-0119-6

Konzept zur datengetriebenen Analyse und Modellierung des preisbeeinflussten Verbrauchsverhaltens. PhD dissertation
Waczowicz, S.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081003

Energy forecasting tools and services
González Ordiano, J. Á.; Waczowicz, S.; Hagenmeyer, V.; Mikut, R.
2017. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 8 (2), Art.Nr. e1235. doi:10.1002/widm.1235

Mining Flexibility Patterns in Energy Time - Series from Industrial Processes
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 13–32, KIT Scientific Publishing

Prognose für preisbeeinflusstes Verbrauchsverhalten
Klaiber, S.; Waczowicz, S.; Konotop, I.; Westermann, D.; Mikut, R.; Bretschneider, P.
2017. Automatisierungstechnik, 65 (3), 179–188. doi:10.1515/auto-2016-0125

Lastprognosen für das Fernwärmenetz der Stadt Karlsruhe
Mikut, R.; Renkamp, N.; Gonzalez Ordiano, J. A.; Ludwig, N.; Schlagel, T.; Waczowicz, S.; Hagenmeyer, V.; Rink, M.; Iser, A.; Hitzel, J.
2016. 4. Workshop der Stadt Karlsruhe mit den KIT-Zentren “Klima und Umwelt” und “Energie” (2016), Karlsruhe, Germany, November 29, 2016

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems
González Ordiano, J. Á.; Doneit, W.; Waczowicz, S.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2016. Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016. Hrsg.: F. Hoffmann, 9–30, KIT Scientific Publishing

Photovoltaic power forecasting using simple data-driven models without weather data
González Ordiano, J. Á.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. Computer Science - Research and Development, 32 (1-2), 237–246. doi:10.1007/s00450-016-0316-5

Data-driven photovoltaic power forecasting
Gonzalez Ordiano, J. A.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016

Investigation and mathematical modelling of the impact of incentive signals to consumers on their consumption, load forecast and network operation
Konotop, I.; Klaiber, S.; Waczowicz, S.; Bretschneider, P.; Mikut, R.; Westermann, D.
2016. IET generation, transmission and distribution, 10 (9), 2138–2146. doi:10.1049/iet-gtd.2015.1175

Virtual storages as theoretically motivated demand response models for enhanced smat grid operations
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2016. Energy technology, 4 (1), 163–176. doi:10.1002/ente.201500318

Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example
Hagenmeyer, V.; Cakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Waczowicz, S.; Mikut, R.
2016. Energy Technology, 4 (1), 145–162. doi:10.1002/ente.201500304

Demand response clustering - How do dynamic prices affect household electricity consumption?
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015

A contribution to the load forecast of price elastic consumption behaviour
Klaiber, S.; Brettschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015

Demand response clustering - How do dynamic prices affect household electricity consumption?
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. Proceedings of IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015, Article no 7232493, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2015.7232493

A contribution to the load forecast of price elastic consumption behaviour
Klaiber, S.; Brettschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Proceedings of IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2015.7232548

Extended Method to Forecast Price Elastic Consumption Behaviour
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 2015

Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 2015

Virtual storages as theoretically motivated demand response models for enhanced smart grid operation
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 2015

Extended method to forecast price elastic consumption behaviour
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Germany, May 20–22, 2015

Datengetriebene Modellierung von zeitvariablen Stromtarifen in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Reischl, M.; Mikut, R.
2014. 3. Jahrestagung des KIT-Zentrums Energie, Karlsruhe, 26. Juni 2014

Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden = Data mining to analyse the effects of price signals on household electricity customers
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Reischl, M.; Mikut, R.
2014. Automatisierungstechnik, 62 (10), 740–752. doi:10.1515/auto-2014-1108

Virtuelle Speicher als adaptierbare Verbrauchermodelle zur Lastprognose und Betriebsführung in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Mikut, R.
2013. Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Hrsg.: F. Hoffmann, 109–128, KIT Scientific Publishing

Intelligente Prognoseverfahren für beeinflusstes Verbrauchsverhalten in Energiesystemen
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2013. Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013. Hrsg.: F. Hoffmann, 93–107, KIT Scientific Publishing

Virtuelle Speicher als adaptierbare Verbrauchermodelle zur Lastprognose und Betriebsführung in Verteilnetzen
Waczowicz, S.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Mikut, R.
2013. 23.Workshop Computational Intelligence, Dortmund, 5.-6.Dezember 2013

Intelligente Prognoseverfahren für beeinflusstes Verbrauchsverhalten in Energiesystemen
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2013. 23.Workshop Computational Intelligence, Dortmund, 5.-6.Dezember 2013