متابعة
Nicole Ludwig
Nicole Ludwig
University of Tübingen
بريد إلكتروني تم التحقق منه على uni-tuebingen.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests‏
N Ludwig, S Feuerriegel, D Neumann‏
Journal of Decision Systems 24 (1), 19-36, 2015‏
1382015
Data analytics in the electricity sector–A quantitative and qualitative literature review‏
F vom Scheidt, H Medinová, N Ludwig, B Richter, P Staudt, C Weinhardt‏
Energy and AI 1, 100009, 2020‏
922020
A comprehensive modelling framework for demand side flexibility in smart grids‏
L Barth, N Ludwig, E Mengelkamp, P Staudt‏
Computer Science-Research and Development 33 (1), 13-23, 2018‏
572018
pyWATTS: Python workflow automation tool for time series‏
B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ...‏
arXiv preprint arXiv:2106.10157, 2021‏
282021
Evaluating ensemble post‐processing for wind power forecasts‏
K Phipps, S Lerch, M Andersson, R Mikut, V Hagenmeyer, N Ludwig‏
Wind Energy 25 (8), 1379-1405, 2022‏
252022
A collection and categorization of open‐source wind and wind power datasets‏
N Effenberger, N Ludwig‏
Wind Energy 25 (10), 1659-1683, 2022‏
232022
Forecasting energy time series with profile neural networks‏
B Heidrich, M Turowski, N Ludwig, R Mikut, V Hagenmeyer‏
Proceedings of the eleventh acm international conference on future energy …, 2020‏
222020
How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes‏
L Barth, V Hagenmeyer, N Ludwig, D Wagner‏
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018‏
222018
Mining flexibility patterns in energy time series from industrial processes‏
N Ludwig, S Waczowicz, R Mikut, V Hagenmeyer, F Hoffmann, ...‏
Proceedings. 27. Workshop Computational Intelligence Dortmund, 23. - 24 …, 2017‏
22*2017
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
Net load forecasting using different aggregation levels‏
M Beichter, K Phipps, MM Frysztacki, R Mikut, V Hagenmeyer, N Ludwig‏
Energy Informatics 5 (Suppl 1), 19, 2022‏
182022
Industrial demand-side flexibility: A benchmark data set‏
N Ludwig, L Barth, D Wagner, V Hagenmeyer‏
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019‏
172019
Sizing of hybrid energy storage systems using recurring daily patterns‏
S Karrari, N Ludwig, G De Carne, M Noe‏
IEEE Transactions on Smart Grid 13 (4), 3290-3300, 2022‏
162022
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0‏
W Jakob, JÁG Ordiano, N Ludwig, R Mikut, V Hagenmeyer‏
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017‏
152017
SCiBER: A new public data set of municipal building consumption‏
P Staudt, N Ludwig, J Huber, V Hagenmeyer, C Weinhardt‏
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018‏
142018
Using weather data in energy time series forecasting: the benefit of input data transformations‏
O Neumann, M Turowski, R Mikut, V Hagenmeyer, N Ludwig‏
Energy Informatics 6 (1), 44, 2023‏
122023
Analytical uncertainty propagation for multi-period stochastic optimal power flow‏
R Bauer, T Mühlpfordt, N Ludwig, V Hagenmeyer‏
Sustainable Energy, Grids and Networks 33, 100969, 2023‏
122023
Mind the (spectral) gap: how the temporal resolution of wind data affects multi-decadal wind power forecasts‏
N Effenberger, N Ludwig, RH White‏
Environmental Research Letters 19 (1), 014015, 2024‏
82024
Multi-horizon wind power forecasting using multi-modal spatio-temporal neural networks‏
ES Miele, N Ludwig, A Corsini‏
Energies 16 (8), 3522, 2023‏
82023
Probabilistic load forecasting using post-processed weather ensemble predictions‏
N Ludwig, S Arora, JW Taylor‏
Journal of the Operational Research Society, 2023‏
82023
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20