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Simon Waczowicz
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Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
P Kohlhepp, H Harb, H Wolisz, S Waczowicz, D Müller, V Hagenmeyer
Renewable and Sustainable Energy Reviews, https://www.sciencedirect.com …, 2019
1682019
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
V Hagenmeyer, H Kemal Çakmak, C Düpmeier, T Faulwasser, J Isele, ...
Energy Technology 4 (1), 145-162, 2016
812016
Energy forecasting tools and services
JÁ González Ordiano, S Waczowicz, V Hagenmeyer, R Mikut
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (2 …, 2018
582018
Photovoltaic power forecasting using simple data-driven models without weather data
JÁ González Ordiano, S Waczowicz, M Reischl, R Mikut, V Hagenmeyer
Computer Science-Research and Development 32 (1-2), 237-246, 2017
512017
The MATLAB toolbox SciXMiner: User's manual and programmer's guide
R Mikut, A Bartschat, W Doneit, JÁG Ordiano, B Schott, J Stegmaier, ...
arXiv preprint arXiv:1704.03298, 2017
412017
Mining flexibility patterns in energy time series from industrial processes
N Ludwig, S Waczowicz, R Mikut, V Hagenmeyer, F Hoffmann, ...
Proc., 27. Workshop Computational Intelligence, Dortmund, 13-32, 2017
222017
Nearest-neighbor based non-parametric probabilistic forecasting with applications in photovoltaic systems
JÁ González Ordiano, W Doneit, S Waczowicz, L Gröll, R Mikut, ...
arXiv preprint arXiv:1701.06463, 2017
222017
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
JÁ González Ordiano, A Bartschat, N Ludwig, E Braun, S Waczowicz, ...
Journal of Big Data 5 (1), 11, 2018
192018
Data mining to analyse the effects of price signals on household electricity customers
S Waczowicz, S Klaiber, P Bretschneider, I Konotop, D Westermann, ...
at-Automatisierungstechnik 62 (10), 740-752, 2014
18*2014
Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations
S Waczowicz, M Reischl, S Klaiber, P Bretschneider, I Konotop, ...
Energy Technology 4 (1), 163-176, 2016
152016
Demand response clustering-how do dynamic prices affect household electricity consumption?
S Waczowicz, M Reischl, V Hagenmeyer, R Mikut, S Klaiber, ...
2015 IEEE Eindhoven PowerTech, 1-6, 2015
152015
Investigation and mathematical modelling of the impact of incentive signals to consumers on their consumption, load forecast and network operation
I Konotop, S Waczowicz, S Klaiber, P Bretschneider, R Mikut, ...
IET Generation, Transmission & Distribution 10 (9), 2138-2146, 2016
142016
A contribution to the load forecast of price elastic consumption behaviour
S Klaiber, P Bretschneider, S Waczowicz, R Mikut, I Konotop, ...
2015 IEEE Eindhoven PowerTech, 1-6, 2015
122015
Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
JÁ González-Ordiano, T Mühlpfordt, E Braun, J Liu, H Çakmak, ...
Applied energy 302, 117498, 2021
112021
A lightweight user interface for smart charging of electric vehicles: A real-world application
S Meisenbacher, K Schwenk, J Galenzowski, S Waczowicz, R Mikut, ...
2021 9th International Conference on Smart Grid and Clean Energy …, 2021
102021
Smart Energy System Control Laboratory–a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems
F Wiegel, J Wachter, M Kyesswa, R Mikut, S Waczowicz, V Hagenmeyer
at-Automatisierungstechnik 70 (12), 1116-1133, 2022
82022
Prognose für preisbeeinflusstes Verbrauchsverhalten
S Klaiber, S Waczowicz, I Konotop, D Westermann, R Mikut, ...
at-Automatisierungstechnik 65 (3), 179-188, 2017
82017
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
S Meisenbacher, K Schwenk, J Galenzowski, S Waczowicz, R Mikut, ...
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
72021
Intelligente Prognoseverfahren für beeinflusstes Verbrauchsverhalten in Energiesystemen
S Klaiber, P Bretschneider, S Waczowicz, R Mikut, I Konotop, ...
Proc 23, 93-108, 2014
72014
Virtuelle Speicher als adaptierbare Verbrauchermodelle zur Lastprognose und Betriebsführung in Verteilnetzen
S Waczowicz, S Klaiber, P Bretschneider, I Konotop, D Westermann, ...
Proc 23, 109-128, 2014
52014
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Articles 1–20