Dr.-Ing.  Simon Waczowicz

Dr.-Ing. Simon Waczowicz

  • Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

Publikationen


2023
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
Galenzowski, J.; Waczowicz, S.; Meisenbacher, S.; Mikut, R.; Hagenmeyer, V.
2023. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 434–441, Association for Computing Machinery (ACM). doi:10.1145/3600100.3626347
Towards a Real-World Dispatchable Feeder
Beichter, S.; Beichter, M.; Werling, D.; Galenzowski, J.; Weise, V.; Hildenbrand, C.; Wiegel, F.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380834
Experimental validation of demand side response rates for frequency control
Casasola-Aignesberger, L.; Wiegel, F.; Waczowicz, S.; Hagenmeyer, V.; Martinez, S.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380814
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
Wärmenetz-gekoppelte Speicherung im tiefen Untergrund
Schill, E.; Waczowicz, S.; Kohl, T.; Stricker, K.; Bracke, R.; Sass, I.; Rink, K.
2023. Forschung für die Wärmewende – klimaneutral, ­effizient und flexibel : Beiträge zur FVEE-Jahrestagung 2022, Berlin, 12th -13th October 2022, 96–101, ForschungsVerbund Erneuerbare Energien (FVEE)
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, 11 (3). doi:10.1002/ente.202201186
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, Juni 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Deutschland, 26.–29. Juni 2022
Integrated concept of local heat transition using geothermal heat production, aquifer storage and optimization of distribution network
Zwickel, P.; Bauer, F.; Schätzler, K.; Steiner, U.; Waczowicz, S.; Hagenmeyer, V.; Schill, E.
2022. European Geothermal Congress 2022 : Berlin, Germany, 17-21 October 2022 : proceedings, European Geothermal Energy Council (EGEC)
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
2021
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
2020
Power Hardware In the Loop infrastructure at KIT
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; Carne, G. de; Geisbüsch, J.; Hiller, M.; Leibfried, T.; Hagenmeyer, V.; Noe, M.
2020, Juni 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, 18. Juni 2020
2019
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
2018
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
2017
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. doi:10.5445/IR/1000076645
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
2016
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, Deutschland, 29. November 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
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. 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 2015 IEEE Eindhoven PowerTech, 1–6, 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, Deutschland, 20.–22. Mai 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, Deutschland, 20.–22. Mai 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, Deutschland, 20.–22. Mai 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, Deutschland, 20.–22. Mai 2015
2014
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 (2014), Karlsruhe, Deutschland, 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
2013
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. doi:10.5445/IR/1000037391
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. doi:10.5445/IR/1000037390/pub
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