Institut für Automation und angewandte Informatik
Dr.-Ing.  Simon Waczowicz

Dr.-Ing. Simon Waczowicz

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)

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

    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668

Publikationen


2019
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
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
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, ACM, New York (NY). 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, ACM, New York (NY). 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, Karlsruhe
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, Karlsruhe
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, IEEE, Piscataway, NJ. 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, IEEE, Piscataway, NJ. 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 2015. The energy conference for scientists and researchers. Book of Abstracts, EST, Energy Science Technology, International Conference & Exhibition, 20-22 May 2015, Karlsruhe, Germany
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 2015. The energy conference for scientists and researchers. Book of Abstracts, EST, Energy Science Technology, International Conference & Exhibition, 20-22 May 2015, Karlsruhe, Germany
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. EST 2015 - Energy, Science and Technology, Karlsruhe, May 20-22, 2015 Book of Abstracts
Extended method to forecast price elastic consumption behaviour.
Klaiber, S.; Bretschneider, P.; Waczowicz, S.; Mikut, R.; Konotop, I.; Westermann, D.
2015. EST 2015 - Energy, Science and Technology, Karlsruhe, May 20-22, 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, 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
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, Karlsruhe
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, Karlsruhe
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