Jens Schreiber
Jens Schreiber
Verified email at uni-kassel.de - Homepage
Title
Cited by
Cited by
Year
Quantifying the influences on probabilistic wind power forecasts
J Schreiber, B Sick
arXiv preprint arXiv:1808.04750, 2018
62018
Influences in forecast errors for wind and photovoltaic power: a study on machine learning models
J Schreiber, A Buschin, B Sick
arXiv preprint arXiv:1905.13668, 2019
32019
Carpe noctem 2009
T Amma, P Baer, K Baumgart, P Burghardt, K Geihs, J Henze, S Opfer, ...
RoboCup 2009 International Symposium. TU Graz, Graz, 2009
32009
A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid
J Schreiber
Organic Computing: Doctoral Dissertation Colloquium 2018 13, 75, 2019
2*2019
Coopetitive Soft Gating Ensemble
S Deist, M Bieshaar, J Schreiber, A Gensler, B Sick
arXiv preprint arXiv:1807.01020, 2018
22018
Representation Learning in Power Time Series Forecasting
J Henze, J Schreiber, B Sick
Deep Learning: Algorithms and Applications, 67-101, 2020
12020
Coopetitive Soft Gating Ensemble
J Schreiber, M Bieshaar, A Gensler, B Sick, S Deist
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
12018
Quantile Surfaces--Generalizing Quantile Regression to Multivariate Targets
M Bieshaar, J Schreiber, S Vogt, A Gensler, B Sick
arXiv preprint arXiv:2010.05898, 2020
2020
Extended Coopetitive Soft Gating Ensemble
S Deist, J Schreiber, M Bieshaar, B Sick
arXiv preprint arXiv:2004.14026, 2020
2020
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
J Schreiber, B Sick
arXiv preprint arXiv:2004.14034, 2020
2020
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
J Schreiber, M Jessulat, B Sick
International Conference on Artificial Neural Networks, 550-564, 2019
2019
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