Nicole Ludwig

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 23

Top Topics

Data Representations

Optimal Power Flow

Top Venues

GECCO (Companion)

Publications

Nicole Ludwig, Siddharth Arora, James W. Taylor
Probabilistic load forecasting using post-processed weather ensemble predictions. J. Oper. Res. Soc. 74 (3) (2023)
Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
Using weather data in energy time series forecasting: the benefit of input data transformations. Energy Inform. 6 (1) (2023)
Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz
Inductive biases in deep learning models for weather prediction. CoRR (2023)
Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
Net load forecasting using different aggregation levels. Energy Inform. 5 (2022)
Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow. CoRR (2022)
Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow. CoRR (2022)
Nina Effenberger, Nicole Ludwig
A Collection and Categorization of Open-Source Wind and Wind Power Datasets. CoRR (2022)
Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer
Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario. e-Energy (2022)
Shahab Karrari, Nicole Ludwig, Giovanni De Carne, Mathias Noe
Sizing of Hybrid Energy Storage Systems Using Recurring Daily Patterns. IEEE Trans. Smart Grid 13 (4) (2022)
Benedikt Heidrich, Nicole Ludwig, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
Adaptively coping with concept drifts in energy time series forecasting using profiles. e-Energy (2022)
Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
pyWATTS: Python Workflow Automation Tool for Time Series. CoRR (2021)
Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR (2021)
Nicole Ludwig
KIU-2021 Keynote: Uncertainty in Machine Learning for Environmental Research. GI-Jahrestagung (2021)
Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Forecasting energy time series with profile neural networks. e-Energy (2020)
Nicole Ludwig, Lukas Barth, Dorothea Wagner, Veit Hagenmeyer
Industrial Demand-Side Flexibility: A Benchmark Data Set. e-Energy (2019)
Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer
Concept and benchmark results for Big Data energy forecasting based on Apache Spark. J. Big Data 5 (2018)
Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, Dorothea Wagner
How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes. e-Energy (2018)
Simon Waczowicz, Nicole Ludwig, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values. e-Energy (2018)
Nicole Ludwig, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series. e-Energy (2018)
Philipp Staudt, Nicole Ludwig, Julian Huber, Veit Hagenmeyer, Christof Weinhardt
SCiBER: A new public data set of municipal building consumption. e-Energy (2018)
Lukas Barth, Nicole Ludwig, Esther Mengelkamp, Philipp Staudt
A comprehensive modelling framework for demand side flexibility in smart grids. Comput. Sci. Res. Dev. 33 (1-2) (2018)
Wilfried Jakob, Jorge Ángel González Ordiano, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0. GECCO (Companion) (2017)
Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann
Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series using Electricity Prices. MKWI (2016)
Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann
Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests. J. Decis. Syst. 24 (1) (2015)