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Nicole Ludwig

M.Sc. Nicole Ludwig

Wissenschaftliche Mitarbeiterin
Tel.: +49 721 608-26713
nicole ludwigDac3∂kit edu

Institut für Angewandte Informatik (IAI)
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
Geb. 449, Raum 345


Research Abstract

Many societies want to achieve an energy production without any fossil fuels. However, we are not yet able to incorporate all the potential of renewable energies and thus still heavily rely on conventional energy producers.

There are two ways to optimise energy production. On the one hand, we can tune the production schedule to follow demand better. On the other hand, we can change the consumption behaviour to support an optimal supply strategy. Traditionally, demand forecasts are the basis for production schedules. However, with an increasing and changing amount of variables influencing the system, perfect predictions seem unrealistic. This thesis considers a flexible demand side as an opportunity to optimise power production for an energy grid.


  • Data Mining
  • Bayesian Statistics
  • Feature Selection
  • Forecasting


Nicole Ludwig, Stefan Feuerriegel, and Dirk Neumann. Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests. Journal of Decision Systems, 24(1):19--36, 2015. [DOI ]

Nicole Ludwig, Stefan Feuerriegel, and Dirk Neumann. Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series Using Electricity Prices. In Volker Nissen, Dirk Stelzer, Steffen Straßburger, and Daniel Fischer, editors, Multikonferenz Wirtschaftsinformatik (MKWI) 2016, volume III, pages 1569--1580. Universitätsverlag Ilmenau, Ilmenau, 2016.