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2020 – today
- 2022
[i11]Stephan Vogt, Jens Schreiber, Bernhard Sick:
Synthetic Photovoltaic and Wind Power Forecasting Data. CoRR abs/2204.00411 (2022)- [i10]Jens Schreiber, Bernhard Sick:
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies. CoRR abs/2204.13293 (2022) - [i9]Jens Schreiber, Stephan Vogt, Bernhard Sick:
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast. CoRR abs/2204.13908 (2022) - 2021
- [c5]Jens Schreiber
, Stephan Vogt, Bernhard Sick:
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. ECML/PKDD (4) 2021: 118-134 - 2020
- [c4]Jens Schreiber, Bernhard Sick:
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. ICPR 2020: 2663-2670 - [i8]Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick:
Extended Coopetitive Soft Gating Ensemble. CoRR abs/2004.14026 (2020) - [i7]Jens Schreiber, Bernhard Sick:
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. CoRR abs/2004.14034 (2020) - [i6]Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick:
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR abs/2010.05898 (2020)
2010 – 2019
- 2019
- [c3]Jens Schreiber, Artjom Buschin, Bernhard Sick:
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. GI-Jahrestagung 2019: 585-598 - [c2]Jens Schreiber, Maik Jessulat, Bernhard Sick:
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. ICANN (3) 2019: 550-564 - [i5]Jens Schreiber, Artjom Buschin, Bernhard Sick:
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. CoRR abs/1905.13668 (2019) - [i4]Jens Schreiber, Maik Jessulat, Bernhard Sick:
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. CoRR abs/1906.00662 (2019) - [i3]Jens Schreiber:
Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid. CoRR abs/1906.01168 (2019) - 2018
- [c1]Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist:
Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC 2018: 190-197 - [i2]Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick:
Coopetitive Soft Gating Ensemble. CoRR abs/1807.01020 (2018) - [i1]Jens Schreiber, Bernhard Sick:
Quantifying the Influences on Probabilistic Wind Power Forecasts. CoRR abs/1808.04750 (2018)
Coauthor Index
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